@article{SchwerdSchulte2024, author = {Schwerd, Simon and Schulte, Axel}, title = {Triggering Cockpit Alerts Using an Eye-Tracking-Based Measure of Monitoring Performance}, volume = {14}, journal = {Aviation Psychology and Applied Human Factors}, number = {1}, publisher = {Hogrefe}, address = {G{\"o}ttingen}, issn = {2192-0931}, doi = {https://doi.org/10.1027/2192-0923/a000263}, pages = {22 -- 37}, year = {2024}, abstract = {This study explored the potential for enhancing pilot performance via an alerting system that adapts according to an eye-tracking-based measure of monitoring. The novel measure combines gaze analysis with system state assessment to estimate the pilot's understanding of the current system state. On this basis, an alerting system was developed to direct pilot attention to unnoticed system state changes, thereby improving system state monitoring. In a flight simulator study involving 10 participants in a generic jet cockpit, we compared the adaptive alerting system with a no-assistance condition. Although alerting improved the participants' performance in two tracking tasks, it adversely impacted performance in a third task. Nonetheless, alerting resulted in a decrease in both variance and mean detection time of critical changes. Participants' subjective ratings were generally positive, yet they criticized the lack of transparency of the alerting mechanism. Alerts triggered based on eye-tracking and system state show potential for improving operator task performance. Nonetheless, for the system to reach its full performance potential, it is critical that the operator understand the principles underlying the alert triggers. False positives and alert design were identified as key areas for improvement to maintain user trust and task flow.}, language = {en} } @article{ReuthlingerSinha2025, author = {Reuthlinger, Eva and Sinha, Tanja}, title = {Impact Investing from an European Perspective - Do Good and Earn Money?}, volume = {14}, journal = {Copernican Journal of Finance \& Accounting}, number = {1}, publisher = {Nicolaus Copernicus University}, address = {Toruń}, issn = {2300-3065}, doi = {http://dx.doi. org/10.12775/CJFA.2025.005}, pages = {87 -- 109}, year = {2025}, abstract = {Impact Investing provides a promising way to fund sustainable development while balancing financial, social, and environmental goals. This study compares the performance of Impact, Conventional, and ESG Portfolios in the European stock market over more than 10 years, using Markowitz Optimization and Naive Diversification. The findings show that Impact Portfolios yield the highest returns, without sacrificing financial performance when integrating sustainability criteria that go beyond the classical ESG investing.}, language = {en} } @article{EngertZaumseilZdetskietal.2026, author = {Engert, Rainer and Zaumseil, Patrick and Zdetski, Dennis and Brandmeier, Thomas}, title = {Fahrzeugsicherheit autonomer Fahrzeuge: Grenzen heutiger Systeme und potenzielle L{\"o}sungen}, volume = {74}, journal = {at - Automatisierungstechnik}, number = {1}, publisher = {De Gruyter}, address = {Berlin}, issn = {2196-677X}, doi = {https://doi.org/10.1515/auto-2025-0064}, pages = {12 -- 34}, year = {2026}, language = {en} } @article{SchmidtZehAndersetal.2020, author = {Schmidt, Sebastian-Manuel and Zeh, Stefan and Anders, Karina and Hirschmann, Katrin and Stieg, Volker}, title = {Wissenschaftliche Weiterbildung neu bewertet}, volume = {2020}, journal = {Zeitschrift Hochschule und Weiterbildung}, subtitle = {Das Spannungsverh{\"a}ltnis von Bildungsauftrag und Nachfrageorientierung als strukturgebendes Element f{\"u}r bayerische Hochschulen}, number = {1}, publisher = {DGWF}, address = {Kassel}, issn = {2567-2673}, doi = {https://doi.org/10.4119/zhwb-3136}, pages = {44 -- 54}, year = {2020}, abstract = {Die Interpretation der Hochschule als Institution des lebenslangen Lernens und das {\"O}ffnen f{\"u}r neue Zielgruppen stellt die staatlichen Bildungseinrichtungen vor erhebliche Herausforderungen, die Aktualisierungshandeln erforderlich machen. Hierdurch begeben sich die staatlichen Einrichtungen auf einen bereits etablierten Bildungsmarkt, der sich vom bekannten Handlungsfeld unterscheidet, da er unentwegt ein agiles Handeln und eine schnelle Adaptionsf{\"a}higkeit auf neue Bildungsanforderungen ben{\"o}tigt. Immer {\"o}fter ist aber die Einrichtung Universit{\"a}t in einer unentwegten Grundsatzdebatte gefangen, die sich immer durch zwei Extrema auszeichnet: arbeitet man marktzentriert oder beharrt man auf seiner vorhandenen Rolle als staatliche Einrichtung mit eindeutigem Bildungsauftrag und wie setzt man nun wissenschaftliche Weiterbildung gem{\"a}ß dessen um? Kontr{\"a}r zur allgegenw{\"a}rtigen Interpretation „Bildungsauftrag vs. / oder Cash Cow" und einem notwendigen Kl{\"a}rungsbedarf der Situationslage ist genau dieses Spannungsverh{\"a}ltnis zwischen den beiden Dimensionen f{\"u}r die Umsetzung der wissenschaftlichen Weiterbildung an (bayerischen) Hochschulen notwendig. Das Spannungsfeld Bildungsauftrag und Nachfrageorientierung ist die beispiellose Triebkraft f{\"u}r Existenz, erfolgreiche Durchf{\"u}hrung und Weiterentwicklung der wissenschaftlichen Weiterbildung und des (Weiter-)Bildungsmarkts.}, language = {de} } @article{PanzerLandesbergerLuzinetal.2025, author = {Panzer, Hannes and Landesberger, Martin and Luzin, Vladimir and Rauner, Dominik and Wolf, Daniel and Zaeh, Michael}, title = {Evaluating the predictive capabilities of part-scale residual stress simulations of PBF-LB/M up to crack formation by a comparison to neutron diffraction}, volume = {2026}, pages = {111713}, journal = {Engineering Fracture Mechanics}, number = {331}, publisher = {Elsevier}, address = {Kidlington}, issn = {0013-7944}, doi = {https://doi.org/10.1016/j.engfracmech.2025.111713}, year = {2025}, abstract = {Additive manufacturing technologies have proven to be an excellent alternative to conventional production methods, especially when geometrically complex parts and low production quantities are aimed at. Specifically, powder bed fusion of metals using a laser beam (PBF-LB/M) additionally allows for the manufacturing of mechanically highly stressable parts. However, the heat input through the laser beam into the material and an irregular cooling during the processing result in the formation of high residual stresses. These lead to form deviations outside the specified tolerances and may accumulate to an extent, at which stress-induced cracking occurs. This emphasizes the need for an accurate prediction of the residual stresses during the PBF-LB/M process with the goal of a first-time-right additive manufacturing. In this study, three specimens exhibiting high residual stress formations during PBF-LB/M were manufactured from the nickel-based superalloy Inconel 718. Afterwards, the stresses were measured by means of neutron diffraction. The results provided the validation data for a subsequent finite element simulation, representing the build-up process on a part-scale, in which the data evaluation was conducted in accordance with the measurements for a high comparability. A comparison between the simulation and the neutron diffraction results of all three specimens showed a very good agreement of the normal stresses in all three coordinate directions, both for tensile and compressive stresses. The obtained results highlight the validity of the applied simplified part-scale simulation. The latter can, therefore, be utilized to increase the process understanding of residual stress and crack formations. It can also be used to enable process parameter modifications or geometry adaptions, aiming at a first-time-right additive manufacturing.}, language = {en} } @article{MehtaBetz2025, author = {Mehta, Kedar and Betz, Florian}, title = {Agri-photovoltaics in India: Geospatial suitability for sustainable water-energy-food nexus solutions}, volume = {2026}, pages = {101915}, journal = {Energy for Sustainable Development}, number = {91}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2352-4669}, doi = {https://doi.org/10.1016/j.esd.2025.101915}, year = {2025}, language = {en} } @article{GleissnerKotonski2025, author = {Gleissner, Christian and Kotonski, Julia}, title = {Crystallographic groups and Calabi-Yau 3-folds of type II0}, volume = {29}, journal = {The Asian Journal of Mathematics}, number = {4}, publisher = {International Press of Boston}, address = {Somerville}, issn = {1945-0036}, doi = {https://dx.doi.org/10.4310/AJM.251216034253}, pages = {517 -- 534}, year = {2025}, language = {en} } @article{BienertRegnet2025, author = {Bienert, J{\"o}rg and Regnet, Simon}, title = {Stability Analysis for an Ultra-Lightweight Glider Airplane with Electric Driven Two-Blade Propeller}, volume = {9}, pages = {3}, journal = {Vibration}, number = {1}, publisher = {MDPI}, address = {Basel}, issn = {2571-631X}, doi = {https://doi.org/10.3390/vibration9010003}, year = {2025}, abstract = {Safety is the most important requirement in flight operations. This also affects the application for an extreme lightweight glider in this paper. Essential properties are the target weight below 120 kgand the electric propulsion. The unsymmetric inertia from the two-blade propeller at the rear in combination with the light and flexible aluminium tube support makes it necessary to investigate the risk of mechanical instability. Starting from the equations of motion, the time-variant system matrices are set up. The simulation of Floquet multiplier and Hill's hyper-eigenvalue problem provide the necessary information about the system stability. The conclusion is that the potential instability due to structural damping in the observed system can be avoided in the range of operation. The damping, experimentally determined by approximately 2\%, is sufficient.}, language = {en} } @article{GregorBauderKirstenVidaldeOliveiraetal.2025, author = {Gregor, Markus and Bauder, Maximilian and Kirsten Vidal de Oliveira, Aline and Mast, Pascal and R{\"u}ther, Ricardo and Schweiger, Hans-Georg}, title = {Approaches for Lifetime Prediction of Vehicle Traction Battery Systems During a Technical Inspection: A Systematic Review}, volume = {17}, pages = {3}, journal = {World Electric Vehicle Journal}, number = {1}, publisher = {MDPI}, address = {Basel}, issn = {2032-6653}, doi = {https://doi.org/10.3390/wevj17010003}, year = {2025}, abstract = {Creating trust in society for new technologies, such as a new types of powertrains, and making them marketable requires transparent, neutral, and independent technical verification. This is crucial for the acceptance and success of electrified vehicles in the used car markets. A key component of electric vehicles is the traction battery, whose current and future condition, particularly regarding aging, determines its residual value and safe operation. This review aims to identify and evaluate methods for predicting the lifetime of onboard traction batteries, focusing on their applicability in technical inspections. A systematic literature and patent review was conducted using targeted keywords, yielding 22 patents and 633 publications. From these, 150 distinct lifetime prediction methods were extracted and categorized into a four-level mind map. These methods are summarized, cited, and structured in detailed tables. The relationships between approaches are explained to clarify the current research landscape. Long Short-Term Memory, Convolutional Neural Networks, and Particle Filters were identified as the most frequently used techniques. However, no methods were found suitable for predicting the lifetime of traction batteries during technical vehicle inspections, which operate under short test durations, limited data access, and diverse real-world operating conditions. Most studies focused on cell-level testing and did not address complete battery systems in operational vehicles. This gap highlights the need for applied research and the development of practical methods to support battery assessment in real-world conditions. Advancing this field is essential to foster confidence in battery systems and enable a sustainable transition to electromobility.}, language = {en} } @article{RieglerRienerHolzmann2019, author = {Riegler, Andreas and Riener, Andreas and Holzmann, Clemens}, title = {A Systematic Review of Augmented Reality Applications for Automated Driving: 2009-2020}, volume = {28}, journal = {Presence: Teleoperators and Virtual Environments}, publisher = {MIT Press}, address = {Cambridge}, issn = {1054-7460}, doi = {https://doi.org/10.1162/pres_a_00343}, pages = {87 -- 126}, year = {2019}, language = {en} } @article{GahmDenzDirretal.2016, author = {Gahm, Christian and Denz, Florian and Dirr, Martin and Tuma, Axel}, title = {Energy-efficient scheduling in manufacturing companies: A review and research framework}, volume = {248}, journal = {European Journal of Operational Research}, number = {3}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1872-6860}, doi = {https://doi.org/10.1016/j.ejor.2015.07.017}, pages = {744 -- 757}, year = {2016}, language = {en} } @article{StindtQuariguasiFrotaNetoNussetal.2016, author = {Stindt, Dennis and Quariguasi Frota Neto, Joao and Nuss, Christian and Dirr, Martin and Jakowczyk, Marta and Gibson, Andrew and Tuma, Axel}, title = {On the Attractiveness of Product Recovery}, volume = {21}, journal = {Journal of Industrial Ecology}, subtitle = {The Forces that Shape Reverse Markets}, number = {4}, publisher = {Wiley}, address = {Oxford}, issn = {1530-9290}, doi = {https://doi.org/10.1111/jiec.12473}, pages = {980 -- 994}, year = {2016}, language = {en} } @article{HaryantoVaculin2025, author = {Haryanto, Aditya and Vaculin, Ondrej}, title = {YoFlow Method for Scenario Based Automatic Accident Detection}, volume = {7}, journal = {IEEE Open Journal of Intelligent Transportation Systems}, publisher = {IEEE}, address = {New York}, issn = {2687-7813}, doi = {https://doi.org/10.1109/OJITS.2025.3639557}, pages = {61 -- 73}, year = {2025}, abstract = {Recent advances in sensor and computing technologies have enabled road side units (RSUs) to not only monitor traffic flow but also process data in real time to improve road safety. However, leveraging RSUs for proactive accident detection remains a challenging and underexplored task, partly due to the lack of diverse accident data. To address this, this study proposes two key contributions: (i) a scenario-based synthetic data generation framework, and (ii) YoFlow, a novel system for vehicle-tovehicle accident detection from a simulated RSU camera perspective. The proposed framework leverages the PEGASUS method for scenario generation strategy and BeamNG.tech for generating synthetic traffic videos. This approach led to the development of the SB-SIF dataset, which includes five representative intersection crash scenarios derived from German accident data. The SB-SIF dataset contains 914 crash videos, 123 near-miss events, and 924 normal traffic instances and is publicly available at: https://doi.org/10.5281/zenodo.15267252. The proposed YoFlow system identifies accidents by analyzing temporal variations in vehicle speed vectors, using YOLO for vehicle classification and CUDA-accelerated dense optical flow to capture abrupt motion changes. The extracted features are processed and classified using an XGBoost model, achieving 94\% recall and 90\% precision in accident detection.}, language = {en} } @article{MehtaLwakatareZoerneretal.2025, author = {Mehta, Kedar and Lwakatare, Bertha and Z{\"o}rner, Wilfried and Ehrenwirth, Mathias}, title = {Mini-grid performance in Sub-Saharan Africa: case studies from Tsumkwe and Gam, Namibia}, volume = {12}, pages = {30}, journal = {Sustainable Energy Research}, number = {1}, publisher = {SpringerOpen}, address = {Singapore}, issn = {2731-9237}, doi = {https://doi.org/10.1186/s40807-025-00174-y}, year = {2025}, abstract = {This paper investigates the performance analysis and operational challenges of mini-grids in Sub-Saharan Africa, focusing on the Tsumkwe and Gam mini-grids, the only officially recognized mini-grids in Namibia. The study addresses a critical gap in understanding mini-grid efficiency, technical difficulties, and future potential. The key research questions focus on assessing mini-grid performance, identifying technical and operational challenges, quantifying the relationship between electricity demand and supply, and providing recommendations for enhancing rural electrification through mini-grids. These insights are crucial for evaluating the effectiveness of mini-grids in the African context and understanding their role in advancing rural electrification. By using a mixed-method approach, the research combines quantitative and qualitative data to offer a comprehensive analysis of these two mini-grid systems of Namibia. The data collected from 2017 to 2022 include metrics on energy supply, consumption, photovoltaic generation, community load, and meteorological conditions. Qualitative insights were gathered through field visits, surveys, and interviews with mini-grid operators, allowing for a thorough examination of community perspectives, operational issues, and technical performance. The findings reveal that the Tsumkwe mini-grid has seen a decline in efficiency due to maintenance problems and battery overheating, while the Gam mini-grid, initially oversized, now struggles with increased demand and new connections. This study provides the first detailed technical insights, identifies consumer archetypes, and evaluates the energy dynamics of mini-grids in Namibia. Recommendations include improved maintenance protocols, advanced battery management, and enhanced data monitoring. By analyzing Tsumkwe and Gam, this paper offers valuable lessons for mini-grid development in Sub-Saharan Africa, stressing the need for continuous evaluation and strategic improvements to achieve sustainable rural electrification.}, language = {en} } @article{MehtaJainZoerner2025, author = {Mehta, Kedar and Jain, Rushabh Bansilal and Z{\"o}rner, Wilfried}, title = {Agrivoltaics Around the World: Potential, Technology, Crops and Policies to Address the Energy-Agriculture Nexus for Sustainable and Climate-Resilient Land Use}, volume = {18}, pages = {6417}, journal = {Energies}, number = {24}, publisher = {MDPI}, address = {Basel}, issn = {1996-1073}, doi = {https://doi.org/10.3390/en18246417}, year = {2025}, abstract = {The urgent pursuit of climate-resilient agriculture and clean energy systems, central to the Energy-Agriculture Nexus and the UN Sustainable Development Goals, has accelerated global interest in agrivoltaic (Agri-PV) technologies. This paper presents a global systematic review and meta-analysis of 160 peer-reviewed studies, structured through a five-stage thematic synthesis: (1) mapping global and regional Agri-PV deployment and potential, (2) analyzing system design and modeling methodologies, (3) evaluating crop suitability under partial shading, (4) reviewing enabling policies and regulatory frameworks, and (5) assessing techno-economic feasibility and investment barriers. Results reveal that Europe and Asia lead Agri-PV development, driven by incentive-based policies and national tenders, while limited regulatory clarity and high capital costs constrain wider adoption. Despite technological progress, no integrated model fully captures the coupled energy, water, and crop dynamics essential for holistic assessment. Strengthening economic valuation, policy coherence, and standardized modeling approaches will be critical to scale Agri-PV systems as a cornerstone of sustainable and climate-resilient land use.}, language = {en} } @article{MeintrupSinger2025, author = {Meintrup, David and Singer, Peter}, title = {A Friendly Guide to the Real Exponential Function}, volume = {132}, journal = {The American Mathematical Monthly}, number = {10}, publisher = {Taylor \& Francis}, address = {London}, issn = {1930-0972}, doi = {https://doi.org/10.1080/00029890.2025.2554556}, pages = {1043 -- 1047}, year = {2025}, abstract = {We propose an elementary introduction to the real exponential function of Leonhard Euler that combines ideas of Felix Klein and Adolf Hurwitz and uses an approximation of the primitive of the hyperbola. In this way, we can avoid the difficulties of common approaches yet still obtain classical results.}, language = {en} } @article{SchwanMohanSchmidetal.2025, author = {Schwan, Hannes and Mohan, Nihesh and Schmid, Maximilian and Saha, Rocky Kumar and Klassen, Holger and M{\"u}ller, Klaus and Elger, Gordon}, title = {Sintering for High Power Optoelectronic Devices}, volume = {16}, pages = {1164}, journal = {Micromachines}, number = {10}, publisher = {MDPI}, address = {Basel}, issn = {2072-666X}, doi = {https://doi.org/10.3390/mi16101164}, year = {2025}, abstract = {Residual-free eutectic Au80Sn20 soldering is still the dominant assembly technology for optoelectronic devices such as high-power lasers, LEDs, and photodiodes. Due to the high cost of gold, alternatives are desirable. This paper investigates the thermal performance of copper-based sintering for optoelectronic submodules on first and second level to obtain thermally efficient thin bondlines. Sintered interconnects obtained by a new particle-free copper ink, based on complexed copper salt, are compared with copper flake and silver nanoparticle sintered interconnects and benchmarked against AuSn solder interconnects. The copper ink is dispensed and predried at 130 °C to facilitate in situ generation of Cu nanoparticles by thermal decomposition of the metal salt before sintering. Submounts are then sintered at 275 °C for 15 min under nitrogen with 30 MPa pressure, forming uniform 2-5 µm copper layers achieving shear strengths above 31 MPa. Unpackaged LEDs are bonded on first level using the copper ink but applying only 10 MPa to avoid damaging the semiconductor dies. Thermal performance is evaluated via transient thermal analysis. Results show that copper ink interfaces approach the performance of thin AuSn joints and match silver interconnects at second level. However, at first level, AuSn and sintered interconnects of commercial silver and copper pastes remained superior due to the relative inhomogeneous thickness of the thin Cu copper layer after predrying, requiring higher bonding pressure to equalize surface inhomogeneities.}, language = {en} } @article{ZippeliusMohdSchmidetal.2025, author = {Zippelius, Andreas and Mohd, Zubair Akhtar and Schmid, Maximilian and Elger, Gordon}, title = {Comparison of different Input data for the prediction of LED solder joints using Artificial Neural Networks}, journal = {IEEE Transactions on Device and Materials Reliability}, publisher = {IEEE}, address = {New York}, issn = {1558-2574}, doi = {https://doi.org/10.1109/TDMR.2025.3633876}, year = {2025}, abstract = {Scarcity of raw data is a major issue for applying data driven methods to reliability prediction, so making the best use of what is available is critical. This paper studies how different aspects of measurement data can be used best. Specifically, the reliability of the solder joint of LED packages is predicted based on Transient Thermal Analysis and Scanning Acoustic Microscopy data from a large measurement campaign. The impact of using full temporal information vs measurements at individual datapoints is investigated as well as the benefit of including the SAM data, and different ways of presenting the TTA information, either as a full curve or as expert-selected features. The impact of formatting categorical information of solder and LED package type as one-hot encoding or using embeddings is considered. Finally, the performance for Pass/Fail predictions of the best identified model with a model architecture developed on a similar dataset is compared. We identified the most relevant sources of information for predicting the behavior and the best format for the data, which helps guide the choice for future model architectures.}, language = {en} } @article{RoueguiBellabairElAslietal.2025, author = {Rouegui, Meryem and Bellabair, Hind and El Asli, Abdelghani and Amar, Amine and Z{\"o}rner, Wilfried and Rachidi, Fouad and Lghoul, Rachid}, title = {Bio-Methanization of Sheep Manure and Beet Waste in the Meknes-F{\`e}s Region, Morocco: Effects of Pretreatment and Machine Learning Applications for Biochemical Methane Potential Prediction}, volume = {10}, pages = {213}, journal = {Recycling}, number = {6}, publisher = {MDPI}, address = {Basel}, issn = {2313-4321}, doi = {https://doi.org/10.3390/recycling10060213}, year = {2025}, abstract = {Sheep manure and beet waste (the uneatable leaf part of the beet) are promising feedstock for biogas production due to their abundance and organic richness. However, their high lignocellulosic content reduces anaerobic digestibility and controls methane yield. This study investigates the effect of various pretreatment strategies, namely physical, thermal, and combined physical-thermal methods, on the Biochemical Methane Potential (BMP) of sheep manure and beet waste. Batch anaerobic digestion experiments were conducted under mesophilic conditions, with BMP values recorded for each treatment. The highest BMP for sheep manure, 125 Nml CH4/g VS, was achieved using combined physical and thermal pretreatment. This approach enhanced methane production by 16\%, 25\%, and 60\% compared to physical pretreatment (PP) alone, thermal pretreatment (TP) alone, and no pretreatment, respectively, while the one BMP for beet waste is 80 Nml CH4/g VS and obtained with thermal pretreatment. To predict BMP outcomes, three machine learning approaches are applied, namely Linear Regression (LM), Random Forest Regression (RFR), and Gradient Boosting Machine (GBM), using digestion time (N days), total solids (Ts), volatile solids (Vs), pretreatment type, and biomass type. The variance analysis confirmed that the interaction between pretreatment and biomass type significantly improved model performance. While diagnostic checks revealed non-linear patterns limiting the linear model, ensemble methods achieved stronger results. The RFR model explained 79.5\% of the variance with a Root Mean Square Error (RMSE) of about 15.7, whereas the GBM model achieved the lowest RMSE of 5.05. GBM captures complex non-linear interactions. In addition, variable importance analyses identified digestion time, solid content, and pretreatment as the most influential factors for methane yield, with the combined chemical and physical pretreatment producing the highest biogas outputs. These findings underscore the potential of advanced machine learning models, particularly GBM (Gradient Boosting Machine), for optimizing anaerobic digestion strategies and maximizing biogas recovery from sheep manure and beet waste.}, language = {en} } @article{PandeyKuehnWeisetal.2025, author = {Pandey, Amit and K{\"u}hn, Stephan and Weis, Alexander and Wunderle, Bernhard and Elger, Gordon}, title = {Evaluating optical performance degradation of automotive cameras under accelerated aging}, volume = {2026}, pages = {109396}, journal = {Optics and Lasers in Engineering}, number = {196}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1873-0302}, doi = {https://doi.org/10.1016/j.optlaseng.2025.109396}, year = {2025}, abstract = {Automotive cameras are subject to environmental stress, which degrades performance by reducing image sharpness. To qualify for automotive use and to ensure that the cameras maintain sharpness according to the hard requirements of end-of-line testing, cameras have to undergo standardized accelerated aging tests. These tests are performed to demonstrate reliability and functional safety over lifetime. Few studies have been published that demonstrate how aging contributes to the degradation of optical performance. This study addresses this gap by combining accelerated thermal aging with sharpness tracking to investigate degradation over time. To quantify sharpness degradation, six series-production cameras were subjected to accelerated thermal aging between -40◦𝐶 and +85◦𝐶. Each camera underwent 2000 aging cycles, equivalent to 80\% of their lifetime based on the Coffin-Manson model of the LV124 standard. Sharpness was measured by calculating the Spatial Frequency Response (SFR) from images captured of a double-cross reticle projected by a virtual object generator with three illumination wavelengths (625nm, 520nm, and 470nm). The change in sharpness was evaluated with SFR50 and SFR at 60 line pairs per millimeter (SFR@60). During the first 250 cycles, a wear-in effect was observed, where sharpness increased before leveling off, as seen previously. The results also indicated a slow decline in sharpness showing long-term stability. Analysis indicated that before aging, the best focal plane was located closer to the focal position of the red wavelength, which lies furthest from the objective. By the end of the aging process, the best focal plane had shifted toward the focal position of the blue wavelength, which is located closer to the objective. This suggests a forward movement of the image sensor due to aging. Even after 2000 cycles, all cameras maintained an SFR@60 above 0.5. A Random Forest regression model was trained to predict the age based on the SFR curves, achieving a mean absolute error of 126 cycles and a 𝑅2 score of 0.96.}, language = {en} } @article{KauppHuber2025, author = {Kaupp, Sabine and Huber, Florian}, title = {Does mental model similarity equal innovation team performance?}, volume = {22}, journal = {Innovation \& Management Review}, number = {4}, publisher = {Emerald}, address = {Bingley}, issn = {2515-8961}, doi = {https://doi.org/10.1108/INMR-09-2023-0152}, pages = {280 -- 292}, year = {2025}, abstract = {Purpose This paper addresses challenges and opportunities of interdisciplinary teamwork in innovation management, focusing on how team mental models (TMMs) can foster more effective collaboration among team members from diverse backgrounds. The research examines the relationship between TMM similarity and team performance in interdisciplinary innovation teams. Design/methodology/approach An exploratory study was conducted with 55 participants across 15 teams. TMM similarity was measured by analyzing team interactions using a web-based interface that facilitated contrasted comparison ratings. These ratings were first processed into individual graphs via a shortest-node-finding pathfinder algorithm, then compared. Subject matter experts evaluated team performance. Findings The results reveal a significant positive correlation between TMM similarity and team performance in interdisciplinary innovation teams, suggesting that greater alignment in team members' mental models enhances overall innovation project performance. Research limitations/implications Although the academic programs sampled replicate the environment, challenges and various other aspects of innovation projects, they can only be considered proxies for innovation projects within real organizations. Further research within professional environments, using a larger sample, is recommended. Practical implications The findings highlight the value of assessing and fostering TMM similarity to improve teamwork and performance in interdisciplinary innovation projects. The interface and code used are publicly available to encourage their implementation in organizations. Originality/value This research provides novel insights into the application of TMMs within interdisciplinary innovation teams, extending the concept beyond its traditional use in unidisciplinary and structured task settings.}, language = {en} } @article{PeintnerMangerBergeretal.2025, author = {Peintner, Jakob and Manger, Carina and Berger, Melanie and Riener, Andreas}, title = {Balancing transparency and control: The impact of AI explanation detail on user perception in automated vehicles}, volume = {2025}, pages = {101742}, journal = {Transportation Research Interdisciplinary Perspectives}, number = {34}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2590-1982}, doi = {https://doi.org/10.1016/j.trip.2025.101742}, year = {2025}, abstract = {As automated vehicle technology advances, explainable AI has emerged as a critical tool to enable users to understand and predict the behavior of AI systems, particularly in safety-critical applications such as automated driving. However, increased transparency in AI explanations may inadvertently contribute to an "illusion of control", a cognitive bias in which drivers overestimate their influence or understanding of the AI's actions. We aim to better understand how the level of detail in AI explanations affects users of automated vehicles. In a virtual reality study, N = 44 participants experienced different explanation levels (low, medium, high) in an automated ride (SAE L4) compared to a baseline condition with no explanations. The results show a significant improvement in participants' user experience, acceptance, and explanation satisfaction, with more detailed explanations. Our findings also indicate that as AI explanations become more detailed, users' perceived level of control increases significantly, although this perception does not correlate with actual control capabilities. At the same time, it decreased their desire to take control, indicating users' susceptibility to the 'illusion of control' bias in the context of automated driving. Overall, this suggests that the design of explanation interfaces should strive for a balanced level of detail that promotes AI transparency without causing cognitive overload. At the same time, explainable AI can be utilized to decrease users' desire to intervene in the AI's actions.}, language = {en} } @article{WanZhaoWiedholzetal.2025, author = {Wan, Lei and Zhao, Jianxin and Wiedholz, Andreas and Bied, Manuel and Martinez de Lucena, Mateus and Jagtap, Abhishek Dinkar and Festag, Andreas and Fr{\"o}hlich, Ant{\^o}nio and Keen, Hannan Ejaz and Vinel, Alexey}, title = {A Systematic Literature Review on Vehicular Collaborative Perception—A Computer Vision Perspective}, volume = {27}, journal = {IEEE Transactions on Intelligent Transportation Systems}, number = {1}, publisher = {IEEE}, address = {New York}, issn = {1558-0016}, doi = {https://doi.org/10.1109/TITS.2025.3631141}, pages = {81 -- 118}, year = {2025}, abstract = {The effectiveness of autonomous vehicles relies on reliable perception capabilities. Despite significant advancements in artificial intelligence and sensor fusion technologies, current single-vehicle perception systems continue to encounter limitations, notably visual occlusions and limited long-range detection capabilities. Collaborative Perception (CP), enabled by Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, has emerged as a promising solution to mitigate these issues and enhance the reliability of autonomous systems. Beyond advancements in communication, the computer vision community is increasingly focusing on improving vehicular perception through collaborative approaches. However, a systematic literature review that thoroughly examines existing work and reduces subjective bias is still lacking. Such a systematic approach helps identify research gaps, recognize common trends across studies, and inform future research directions. In response, this study follows the PRISMA 2020 guidelines and includes 106 peer-reviewed articles. These publications are analyzed based on modalities, collaboration schemes, and key perception tasks. Through a comparative analysis, this review illustrates how different methods address practical issues such as pose errors, temporal latency, communication constraints, domain shifts, heterogeneity, and adversarial attacks. Furthermore, it critically examines evaluation methodologies, highlighting a misalignment between current metrics and CP's fundamental objectives. By delving into all relevant topics in-depth, this review offers valuable insights into challenges, opportunities, and risks, serving as a reference for advancing research in vehicular collaborative perception.}, language = {en} } @article{AgostinelliAsatianiAxmannetal.2025, author = {Agostinelli, Simone and Asatiani, Aleksandre and Axmann, Bernhard and Hannibal, Glenda and Modlinski, Artur}, title = {Trust Calibration for RPA}, volume = {14}, journal = {Dagstuhl Reports}, number = {7}, publisher = {Schloss Dagstuhl}, address = {Dagstuhl}, issn = {2192-5283}, doi = {https://doi.org/10.4230/DagRep.14.7.52}, pages = {61 -- 64}, year = {2025}, abstract = {This working group focused on foundational issues of trust in RPA: How we can conceptualize trust between users and software robots and specify it in a way that, eventually, we can measure that trust empirically.}, language = {en} } @article{GleissnerKotonski2025, author = {Gleißner, Christian and Kotonski, Julia}, title = {The classification of rigid torus quotients with canonical singularities in dimension three}, volume = {36}, journal = {Rendiconti Lincei: Matematica e Applicazioni}, number = {2}, publisher = {EMS Press}, address = {Berlin}, issn = {1720-0768}, doi = {https://doi.org/10.4171/RLM/1070}, pages = {315 -- 352}, year = {2025}, abstract = {We provide a fine classification of rigid 3-dimensional torus quotients with isolated canonical singularities, up to biholomorphism and diffeomorphism. This complements the classification of Calabi-Yau 3-folds of type III0​, which are those quotients with Gorenstein singularities.}, language = {en} } @article{KaiserJungbluthUlrichshoferetal.2025, author = {Kaiser, Carolin and Jungbluth, Michael and Ulrichshofer, Anna and Kames, Lucas and Cato, Patrick}, title = {How sponsored content affects consumer decisions in AI-powered retail}, volume = {7}, journal = {NIM Insights}, publisher = {NIM}, address = {N{\"u}rnberg}, issn = {2944-5981}, url = {https://www.nim.org/forschung/uebersicht-forschungsprojekte/forschungsprojekt/how-sponsored-sontent-affects-consumer-decisions-in-ai-powered-retail}, pages = {26 -- 29}, year = {2025}, language = {en} } @article{JamadarSekharYadaetal.2025, author = {Jamadar, Mohammad I. and Sekhar, Ravi and Yada, Vijay Ramarao and Rairikar, Sandeep D. and Thipse, Sukrut}, title = {Emission Testing of Flex Fuel Vehicles up to M100/E100: Upgradation of Existing Test Facility for Vehicles below 3.5-ton GVW for Testing Methanol or Ethanol Operated Vehicles}, volume = {58}, journal = {Journal Europ{\´e}en des Syst{\`e}mes Automatis{\´e}s​}, number = {8}, publisher = {IIETA}, address = {Edmonton}, issn = {2116-7087}, doi = {https://doi.org/10.18280/jesa.580816}, pages = {1721 -- 1732}, year = {2025}, abstract = {This paper is focused on enhancing the existing dilute emission measurement system to accommodate the emission testing of vehicles operating with gasoline blends with methanol and ethanol, dedicated M100/E100 etc. India is moving towards achieving the E20 blend on the pan-country level by April 2025 with the initiations of NITI Aayog and exploring alternate fuels like 100\% methanol and ethanol. Government of India is now focused on introducing the flex fuel vehicle (FFV) technology that supports the usage of higher ethanol blends. As per CMVR guidelines for M and N category vehicles with a gross vehicle weight less than 3,500 kg; a dilute emission measurement system is used to evaluate tailpipe pollutants and fuel economy. Most of the present emission systems are compatible with testing the vehicle till M15 and E20 blends. Beyond this percentage, usage of a test facility for M100, E100, and other flex-fuel vehicles, require certain modifications in existing test facility to maintain the precision and reliability of the results considering higher water content in exhaust and effect of condensation on emission measurement due to dilution. The modifications needed, implementation and their impact are experimentally briefed in the present paper.}, language = {en} } @article{AxmannHarmoko2024, author = {Axmann, Bernhard and Harmoko, Harmoko}, title = {The Assessment Model of Robotic Process Automation (RPA) Project Using Benefit Study and Balanced Scorecard (BSC) Approach}, volume = {18}, journal = {Tehnički glasnik}, number = {2}, publisher = {University North}, address = {Koprivnica}, issn = {1848-5588}, doi = {https://doi.org/10.31803/tg-20240416111054}, pages = {246 -- 253}, year = {2024}, abstract = {Assessing Robotic Process Automation (RPA) projects is challenging, especially for small and medium-sized enterprises (SMEs) with limited resources. The most common approach, cost-benefit analysis, measures the financial success of a project, but it does not capture all RPA benefits, which can lead to erroneous decisions about starting, continuing, delaying, or stopping an RPA project. This research presents a novel RPA project assessment model that combines a benefits approach with the balanced scorecard (BSC) framework. The model identifies RPA benefits from the scientific literature and classifies them into four BSC indicators: financial, business process improvement, customer satisfaction, and learning and development. SMEs can easily use the model by comparing expected and actual benefits to make quick and holistic decisions. The model's simplicity, ease of use, and ability to reveal both monetary and non-monetary RPA benefits make it a valuable tool for SMEs.}, language = {en} } @article{ChaturvediKumarToftumetal.2025, author = {Chaturvedi, Pushpendra Kr. and Kumar, Nand and Toftum, J{\o}rn and Andersen, Rune Korsholm and Lamba, Ravita and Mehta, Kedar}, title = {Exploring influential parameters affecting residential building energy use: advancing energy efficiency through machine learning}, volume = {27}, journal = {Clean Technologies and Environmental Policy}, number = {11}, publisher = {Springer}, address = {Berlin}, issn = {1618-9558}, doi = {https://doi.org/10.1007/s10098-025-03301-x}, pages = {6975 -- 6996}, year = {2025}, language = {en} } @article{SchuhmacherGassmannKwisdaetal.2025, author = {Schuhmacher, Alexander and Gassmann, Oliver and Kwisda, Sebastian and Kremer, Malte and Hinder, Markus and Hartl, Dominik}, title = {The R\&D productivity challenge: transforming the pharmaceutical ecosystem}, volume = {30}, pages = {104494}, journal = {Drug Discovery Today}, number = {11}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1878-5832}, doi = {https://doi.org/10.1016/j.drudis.2025.104494}, year = {2025}, abstract = {The persistent decline in pharmaceutical R\&D productivity has been extensively analyzed and debated for over two decades, with profound implications for the structure and strategy of the pharmaceutical industry. This systemic challenge forced many leading companies to adapt their R\&D models, influencing internal capabilities and external innovation strategies. In response, the industry has evolved into a complex, interdependent biopharmaceutical ecosystem encompassing large pharmaceutical corporations, biotech innovators and specialized service providers. Although R\&D productivity affects all research-driven companies, its consequences are particularly pronounced for large pharmaceutical firms, because the scale and capital intensity of their R\&D activities make productivity a crucial determinant of long-term competitiveness and sustainability. By contrast, other stakeholders are only partially adversely affected, whereas some can even obtain value from it.}, language = {en} } @article{SchwertnerBuchbergerDiehletal.2025, author = {Schwertner, Stefan and Buchberger, Tobias and Diehl, Simon and Ferg, Rebekka and Hanzl, Christian and Hartmann, Christoph and H{\"o}lzle, Markus and Kleiner, Jan and Komsiyska, Lidiya and Lewerenz, Meinert and Liebhart, Bernhard and Schmid, Michael and Schneider, Dominik and Scholz, Florian and Speer, Sascha and St{\"o}ttner, Julia and Terbrack, Christoph and Hinterberger, Michael and Endisch, Christian}, title = {Design and Implementation of an Intelligent Reconfigurable High-Voltage Battery System for Next-Generation Electric Vehicles}, volume = {11}, pages = {11110424}, journal = {Batteries}, number = {11}, publisher = {MDPI}, address = {Basel}, issn = {2313-0105}, doi = {https://doi.org/10.3390/batteries11110424}, year = {2025}, abstract = {Battery system engineers face the challenge of balancing competing requirements regarding performance, maintainability, sustainability, safety, and cost—especially in the automotive industry. IBS potentially offer a solution with fewer trade-offs. They feature a battery management system with advanced sensing and data analysis capabilities that facilitate improved battery monitoring and operation. Reconfigurable energy storage units enable sophisticated operating strategies, including complete cell state control, full energy content utilization, and a measured response to faults. This article presents the design, development, and operation of a full-scale intelligent battery system prototype comprising 324 automotive lithium-ion cells with a nominal voltage of 400V. The system exhibits a modular single cell architecture and an advanced centralized battery management system. We detail the system architecture, hardware and software component design, and system integration. Initial tests demonstrate the battery's operability, extended functionality, and enhanced safety. Our analysis shows that the additional losses introduced by reconfigurability are more than offset by the benefits of full energy utilization—even for new cells, with increasing advantage as aging progresses. The results underscore the potential of intelligent battery systems and motivate further research and development toward economic assessment and industrial adoption.}, language = {en} } @article{DenkFroehlingBrunneretal.2024, author = {Denk, Florian and Fr{\"o}hling, Felix and Brunner, Pascal and Huber, Werner and Margreiter, Martin and Bogenberger, Klaus and Kates, Ronald}, title = {Influence of gaze strategies and cognitive load on safeguarding performance of motorists in right-turning scenarios involving potential conflicts with vulnerable road users}, volume = {2025}, journal = {Transportation Research Part F: Traffic Psychology and Behaviour}, number = {109}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1873-5517}, doi = {https://doi.org/10.1016/j.trf.2024.11.012}, pages = {32 -- 49}, year = {2024}, abstract = {In urban traffic, while the fraction of collisions involving Vulnerable Road Users (VRU) is low, their importance is high due to the higher injury risk for VRU. Their infrequent occurrence on average (compared with far more common individual perceptual and behavioral errors by both drivers and VRUs) reflects an underlying fault tolerance in traffic processes. However, the degree of fault tolerance varies among traffic situations. The underlying perceptual and cognitive processes involved are complex and can require a high level of attention and concentration, particularly in situations with intersecting trajectories. These processes can occasionally fail, leading to collision risk. The situation of right-turning motorists (in right-hand-drive countries) encountering cyclists moving straight on a bike lane (with right of way) has a particularly low error tolerance, since motorists must actively scan for cyclists approaching from behind. In order to develop, test and assess solutions that mitigate collision risk in this situation, the behavior-related causation mechanisms need investigation. This is the focus of this article. We conducted a trial on our closed test track with n = 35 subjects. The experiment was designed as a within-subject design with three independent factors: maneuver, target velocity, and cognitive load in an n-back task. The trial included observations of participants' gaze control. A primary research focus was the quality and efficiency of the safeguarding gaze behavior of participants in order to draw conclusions on the causation mechanisms of collisions in this situation. For this purpose we define metrics in order to quantify the quality and efficiency of a specific gaze behavior. Furthermore, we studied the effect of factors cognitive load and target velocity on safety and secondary (n-back) task performance. Remarkably, only four out of 35 participants reached a collision risk of 0\% relating to the defined quality metric. Furthermore, we identified four distinct gaze strategy groups through hierarchical clustering, where one group performed particularly few glances overall. This group showed significant differences with respect to the defined quality metric whereas the other groups showed only slight differences to each other. The results have implications on subsequent crash causation model development.}, language = {en} } @article{PugetGanzBertrametal.2025, author = {Puget, Chlo{\´e} and Ganz, Jonathan and Bertram, Christof and Conrad, Thomas and Baeblich, Malte and Voss, Anne and Landmann, Katharina and Haake, Alexander F. H. and Spree, Andreas and Hartung, Svenja and Aeschlimann, Leonore and Soto, Sara and de Brot, Simone and Dettwiler, Martina and Aupperle-Lellbach, Heike and Bolfa, Pompei and Bartel, Alexander and Kiupel, Matti and Breininger, Katharina and Aubreville, Marc and Klopfleisch, Robert}, title = {Artificial intelligence predicts c-KIT exon 11 genotype by phenotype in canine cutaneous mast cell tumors: Can human observers learn it?}, volume = {63}, journal = {Veterinary Pathology}, number = {2}, publisher = {Sage}, address = {London}, issn = {1544-2217}, doi = {https://doi.org/10.1177/03009858251380284}, pages = {369 -- 379}, year = {2025}, abstract = {Canine cutaneous mast cell tumors (ccMCTs) are frequent neoplasms with variable biological behaviors. Internal tandem duplication mutations in c-KIT exon 11 (c-KIT-11-ITD) are associated with poor prognosis but predict therapeutic response to tyrosine kinase inhibitors. In a previous work, deep learning algorithms managed to predict the presence of c-KIT-11-ITD on digitalized hematoxylin and eosin-stained histological slides (whole-slide images, WSIs) in up to 87\% of cases, suggesting the existence of morphological features characterizing ccMCTs carrying c-KIT-11-ITD. This 3-stage blinded study aimed to identify morphological features indicative of c-KIT-11-ITD and to evaluate the ability of human observers to learn this task. 17 untrained pathologists first classified 8 WSIs and 200 image patches (highly relevant for algorithmic classification) of ccMCTs as either positive or negative for c-KIT-11-ITD. Second, they self-trained to recognize c-KIT-11-ITD by looking at the same WSIs and patches correctly sorted. Third, pathologists classified 15 new WSIs and 200 new patches according to c-KIT-11-ITD status. In addition, participants reported microscopic features they considered relevant for their decision. Without training, participants correctly classified the c-KIT-11-ITD status of 63\%-88\% of WSIs and 43\%-55\% of patches. With self-training, 25\%-38\% of WSIs and 55\%-56\% of patches were correctly classified. High cellular pleomorphism, anisokaryosis, and sparse cytoplasmic granulation were commonly suggested as features associated with c-KIT-11-ITD-positive ccMCTs, none of which showed reliable predictivity in a follow-up study. The results indicate that transfer of algorithmic skills to the human observer is difficult. A c-KIT-11-ITD-specific morphological feature remains to be extracted from the artificial intelligence model.}, language = {en} } @article{PanchalPatelGohil2023, author = {Panchal, Dhruv and Patel, Bhavesh and Gohil, Hardik}, title = {Experimental Investigation on Performance Characteristics of Dry Centrifugal Clutch with Grooved Friction Liners}, volume = {20}, journal = {International Journal of Automotive and Mechanical Engineering}, number = {1}, publisher = {Universiti Malaysia Pahang Al-Sultan Abdullah Publishing}, address = {Pekan}, issn = {2180-1606}, doi = {https://doi.org/10.15282/ijame.20.1.2023.01.0786}, pages = {10152 -- 10164}, year = {2023}, abstract = {The deteriorated condition of friction liners after prolonged use is one of the primary causes of judder in centrifugal clutches. The friction characteristics can be retained by generating specific textures or grooves on the friction liner. An attempt has been made to study the characteristics of centrifugal clutch using grooved friction liners. A test cycle for centrifugal clutch has been developed using a number of engagements as the basis. A vehicle test bench was used for the experiment where the developed test cycle was automated. The performance characteristics of the centrifugal clutch have been recorded and analyzed with normal friction liners and grooved friction liners for 100 test cycles. For this study, the groove area ratio was retained at 0.15, and the grooves were cut at 90°. After completing 100 test cycles, the clutch with a grooved friction liner exhibited better characteristics. After completing 100 test cycles, the surface roughness reduction at the leading section of the grooved friction liner and normal friction liner has been found to be 6.44\% and 8.11\%, respectively. The thickness reduction at the leading section of the grooved friction liner and normal friction liner has been reported to be 3.73\% and 4.98\%, respectively. Throughout the run of 100 test cycles, the higher clutch housing temperature has been witnessed in the case of a clutch with a grooved friction liner. At the 100th test cycle, the clutch torque with a grooved friction liner was 15.22\% more than the clutch torque with a normal friction liner. Even after prolonged use, the clutch with grooved friction liner exhibited better judder characteristics and also provided higher fuel economy for vehicles.}, language = {en} } @article{MangerVoglRiener2025, author = {Manger, Carina and Vogl, Annalena and Riener, Andreas}, title = {Cognitive Biases in User Interaction with Automated Vehicles: The Influence of Explainability and Mental Models}, volume = {15}, pages = {11030}, journal = {Applied Sciences}, number = {20}, publisher = {MDPI}, address = {Basel}, issn = {2076-3417}, doi = {https://doi.org/10.3390/app152011030}, year = {2025}, abstract = {To develop truly human-centered automated systems, it is essential to acknowledge that human reasoning is prone to systematic deviations from rational judgment, known as Cognitive Biases. The present study investigated such flawed reasoning in the context of automated driving. In a multi-step study with N = 34 participants, the occurrence of four Cognitive Biases was examined: Truthiness Effect, Automation Bias, Action Bias, and Illusory Control. Additionally, the study explored how the Explainability of the automation's behavior and the driver's Mental Model influenced the manifestation of these biases. The findings indicate a notable susceptibility to the Truthiness Effect and Illusory Control, although all biases appeared highly dependent on the specific driving context. Moreover, Explainability strongly impacted the perceived credibility of information and participants' agreement with the system's behavior. Given the exploratory nature of the study, this work aims to initiate a discussion on how Cognitive Biases shape human reasoning and decision-making in interactions with automated vehicles. Based on the results, several directions for future research are proposed: (1) investigation of additional cognitive biases, (2) analysis of biases across different levels of automation, (3) exploration of mitigation strategies versus deliberate use of biases, (4) examination of dynamic and context-dependent manifestations, and (5) validation in high-fidelity simulations or real-world settings.}, language = {en} } @article{SantosNetoKanieskietal.2025, author = {Santos, Cassiano and Neto, Milad Kalume and Kanieski, Jo{\~a}o Marcos and Rufino J{\´u}nior, Carlos Ant{\^o}nio and Schweiger, Hans-Georg and Zanin, Hudson}, title = {A multidimensional assessment of electrification in automotive powertrains: Technical, operational, and strategic perspectives}, volume = {2025}, pages = {107377}, journal = {Results in Engineering}, number = {28}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2590-1230}, doi = {https://doi.org/10.1016/j.rineng.2025.107377}, year = {2025}, abstract = {Global transportation is undergoing a profound transformation, driven by the convergence of decarbonization targets and advances in electrification technologies. Electrification, ranging from mild Hybrid Electric Vehicles (mHEVs) to Battery Electric Vehicles (BEVs), represents the main technological path in the transition from internal combustion engines. This transition is inherently multidimensional, simultaneously reshaping vehicle design, manufacturing systems, supply chains, customer value, and environmental outcomes in interconnected ways. Each architecture, including mHEV, Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), and BEV, presents different tradeoffs in these dimensions, requiring a structured framework for systematic comparison. To address this gap, this work details an integrated framework that systematically compares electrification pathways across five interrelated dimensions: vehicle concepts, research and development, manufacturing and logistics, customer experience, and environmental footprint. This framework culminates in a decision matrix that consolidates trade-offs into a practical SWOT based tool for strategic planning.}, language = {en} } @article{TheilerNoerpelBaumannetal.2025, author = {Theiler, Michael and N{\"o}rpel, Felix and Baumann, Alexander and Endisch, Christian}, title = {Thermal fault detection in battery systems using principal component analysis with adaptive thresholding}, volume = {2026}, pages = {119101}, journal = {Journal of Energy Storage}, number = {141, Part B}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2352-1538}, doi = {https://doi.org/10.1016/j.est.2025.119101}, year = {2025}, abstract = {Lithium-ion cells pose serious safety risks when they enter a state with highly exothermic reactions known as thermal runaway. Because elevated temperature is the ultimate trigger for this failure mode, reliable and timely detection of abnormal cell temperature is critical. Early detection enables, user warning, fast emergency response, and provides the basis for effective active prevention strategies. In this work, we present an unsupervised data-driven approach that detects thermal faults by monitoring inter-cell voltage deviations. We apply principal component analysis (PCA) to capture systematic changes in voltage homogeneity that occur when a cell within a battery module heats abnormally. By systematically analyzing the effects of thermal stress on voltage homogeneity under varying operating conditions, we reveal requirements for a reliable detection method. Leveraging these insights, we introduce an adaptive thresholding mechanism. This novel approach significantly boosts the sensitivity to faults for a wide range of operating conditions while maintaining detection robustness. We validate the method through extensive experiments in which we externally heat a single cell within a module with the power of 1 W. Compared to both conventional linear PCA and nonlinear kernel PCA with a constant threshold, linear PCA with adaptive thresholding achieves a significantly better balance between sensitivity and robustness across the full range of test conditions.}, language = {en} } @article{BhanderiAgrawalElger2025, author = {Bhanderi, Savankumar and Agrawal, Shiva and Elger, Gordon}, title = {Deep segmentation of 3+1D radar point cloud for real-time roadside traffic user detection}, volume = {15}, pages = {38489}, journal = {Scientific Reports}, publisher = {Springer Nature}, address = {London}, issn = {2045-2322}, doi = {https://doi.org/10.1038/s41598-025-23019-6}, year = {2025}, abstract = {Smart cities rely on intelligent infrastructure to enhance road safety, optimize traffic flow, and enable vehicle-to-infrastructure (V2I) communication. A key component of such infrastructure is an efficient and real-time perception system that accurately detects diverse traffic participants. Among various sensing modalities, automotive radar is one of the best choices due to its robust performance in adverse weather and low-light conditions. However, due to low spatial resolution, traditional clustering-based approaches for radar object detection often struggle with vulnerable road user detection and nearby object separation. Hence, this paper proposes a deep learning-based D radar point cloud clustering methodology tailored for smart infrastructure-based perception applications. This approach first performs semantic segmentation of the radar point cloud, followed by instance segmentation to generate well-formed clusters with class labels using a deep neural network. It also detects single-point objects that conventional methods often miss. The described approach is developed and experimented using a smart infrastructure-based sensor setup and it performs segmentation of the point cloud in real-time. Experimental results demonstrate 95.35\% F1-macro score for semantic segmentation and 91.03\% mean average precision (mAP) at an intersection over union (IoU) threshold of 0.5 for instance segmentation. Further, the complete pipeline operates at 43.61 frames per second with a memory requirement of less than 0.7 MB on the edge device (Nvidia Jetson AGX Orin).}, language = {en} } @article{YarzaNavarroSchaerEllerSchulzetal.2025, author = {Yarza Navarro-Sch{\"a}r, Vanessa Gabriela and Eller, Eric and Schulz, Marco and Lermer, Eva}, title = {The trust-NPS correlation: The role of trust in promoting customer loyalty in Swiss financial institutions}, volume = {20}, pages = {e0334423}, journal = {PLOS ONE}, number = {11}, publisher = {PLOS}, address = {San Francisco}, issn = {1932-6203}, doi = {https://doi.org/10.1371/journal.pone.0334423}, year = {2025}, abstract = {The Net Promoter Score (NPS) is a widely used key performance indicator (KPI) for measuring customer loyalty and guiding customer-centric strategies. While customer trust has been identified as an important influencing factor for NPS, existing research treats trust as a unidimensional construct, leaving the specific trust components that drive customer loyalty behaviors largely unexplored. This study addresses this theoretical gap by examining the relationship between various trust components and NPS in the financial services sector. A survey of 1,370 Swiss consumers assessed trust across ten theoretically-derived dimensions alongside their NPS ratings for five financial service companies. Employing median-split analysis, results demonstrate that high customer trust is associated with a significantly higher NPS (+36.5) compared to low trust (-68.6). Critically, quantile regression analysis revealed heterogeneous effects of trust components across different NPS distribution levels, with ability, experience, and reputation showing consistent positive effects across all quantiles. In contrast, joint interests and continuity emerged as relevant only at higher NPS quantiles, while reciprocity proved significant exclusively at the 25th percentile, demonstrating that distinct trust determinants become salient depending on customers' advocacy levels. These findings challenge prevailing theoretical assumptions about customer trust's homogeneous influence on customer loyalty, revealing instead a differentiated pattern of trust component effects. The study advances trust theory by demonstrating that trust dimensions not only vary in their influence on customer advocacy behaviors but also exhibit different effect patterns across the NPS distribution, contradicting assumptions of uniform trust impact on loyalty outcomes. The results indicate that NPS optimization requires strategic focus on specific trust dimensions, particularly those demonstrating consistent positive associations across quantile levels. This research contributes novel theoretical insights into the conditional trust-loyalty relationship while providing empirically-grounded guidance for customer-centric business strategies.}, language = {en} } @article{KolffHimmelsVenrooijetal.2025, author = {Kolff, Maurice and Himmels, Chantal and Venrooij, Joost and Parduzi, Arben and Pool, Daan M. and Riener, Andreas and Mulder, Max}, title = {Effect of motion mismatches on ratings of motion incongruence and simulator sickness in urban driving simulations}, volume = {2025}, pages = {103370}, journal = {Transportation Research Part F: Traffic Psychology and Behaviour}, number = {115}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1873-5517}, doi = {https://doi.org/10.1016/j.trf.2025.103370}, year = {2025}, abstract = {This paper investigates the effects of motion mismatches on simulator sickness and subjective ratings of the motion. In an open-loop driving simulator experiment, participants were driven through a recorded urban drive twelve times, in which mismatches were induced by manipulating the following three aspects in motion cueing: (i) mismatches in specific vehicle axes, (ii) mismatch types (scaling, missing, and false cues), and (iii) inconsistent scaling between different motion axes. Subjects (N=52) reported simulator sickness post-hoc (after each drive), as well as continuously during each drive, a first in simulator sickness research. Furthermore, subjective post-hoc motion incongruence ratings on the quality of the motion were extracted. Results show that longitudinal motion mismatches lead to the most simulator sickness and the highest ratings, followed by mismatches in lateral motion, then yaw rate. False cues induce the most sickness, followed by missing and then scaled motion. Inconsistent scaling between the axes has no significant effect. The continuous sickness ratings support that the occurrence and severity of simulator sickness are indeed related to mismatches in simulator motion of specific maneuvers. This paper contributes to an improved understanding of the relationship between simulator motion and sickness, allowing for more targeted motion cueing strategies to prevent and reduce sickness in driving simulators. These strategies may include the appropriate selection of the simulator, the motion cueing, and the sample of participants, following the presented results.}, language = {en} } @article{DoepfertChuHamacher2025, author = {Doepfert, Markus and Chu, Jiahe and Hamacher, Thomas}, title = {HAMLET: A modular agent-based Python framework for energy markets and systems}, volume = {2025}, pages = {102346}, journal = {SoftwareX}, number = {32}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2352-7110}, doi = {https://doi.org/10.1016/j.softx.2025.102346}, year = {2025}, abstract = {HAMLET is an agent-based Python framework designed to model the intricate interactions between energy markets, systems, and stakeholders. Its modular architecture provides a flexible and adaptable platform for analyzing complex energy systems. With numerous pre-built templates for energy system components, HAMLET enables researchers to focus on their area of expertise without the need to develop the surrounding ecosystem from scratch. By integrating market and system dynamics, HAMLET supports diverse applications, including market design optimization, grid management, policy refinement, and energy management system development. HAMLET delivers detailed insights into the technical, economic, and social impacts of new system designs, addressing a critical gap in energy system modeling.}, language = {en} } @article{ZepfGelnerHaertletal.2025, author = {Zepf, Andreas and Gelner, Alexander and H{\"a}rtl, Martin and Jaensch, Malte}, title = {3D-CFD-Based optimization of piston Geometry, injector nozzle Design, and injection strategy for the alternative diesel fuel Oxymethylene ether (OME)}, volume = {406}, pages = {136995}, journal = {Fuel}, number = {Part B}, publisher = {Elsevier}, address = {New York}, issn = {1873-7153}, doi = {https://doi.org/10.1016/j.fuel.2025.136995}, year = {2025}, abstract = {Oxymethylene ethers (OMEs) represent a promising alternative to conventional diesel fuels, offering carbon-neutral mobility and soot-free combustion due to the absence of carbon-carbon bonds. This prevents the soot-NOx trade-off. Moreover, an OME-adapted and optimized combustion process offers the opportunity to improve engine efficiency while simultaneously reducing NOx emissions, thus addressing the existing efficiency-NOx trade-off. Realizing this potential necessitates tailoring the mixture preparation and combustion process to the unique characteristics of OME. This study explores the optimization of piston geometry, injector nozzle design, and injection strategies to leverage OME's unique properties for improved engine performance. Using 3D-CFD simulations with the CONVERGE software, key parameters such as nozzle diameter, spray angle, and piston bowl shape are analyzed for their impact on efficiency and emissions. The results highlight that wider piston bowl geometries enhance indicated efficiency, while larger nozzle diameters improve combustion efficiency due to reduced combustion durations. Smaller spray angles effectively lower NOx emissions but introduce challenges such as piston wetting and localized temperature peaks. The study also confirms that pilot injection does not benefit OME operation, simplifying injection system requirements. These findings underline the need for tailored engine designs to fully exploit OME's potential as a sustainable fuel. The proposed configurations pave the way for further experimental validation and practical implementation in internal combustion engines, contributing to the global transition toward low-carbon transport systems.}, language = {en} } @article{HinderMadeshHartletal.2025, author = {Hinder, Markus and Madesh, Nandhini and Hartl, Dominik and Schuhmacher, Alexander}, title = {The Role of Data Monitoring Committees in drug research}, volume = {30}, pages = {104474}, journal = {Drug Discovery Today}, number = {10}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1878-5832}, doi = {https://doi.org/10.1016/j.drudis.2025.104474}, year = {2025}, language = {en} } @article{BeutenmuellerBrostekDobersteinetal.2025, author = {Beutenm{\"u}ller, Frank and Brostek, Lukas and Doberstein, Christian and Han, Longfei and Kefferp{\"u}tz, Klaus and Obstbaum, Martin and Pawlowski, Antonia and R{\"o}ssert, Christian and Sas-Brunschier, Lucas and Sch{\"o}n, Thilo and Sichermann, J{\"o}rg}, title = {DISRUPT - Decentralized Intelligent System for Road User Prediction and Tracking}, pages = {2025-01-0294}, journal = {SAE Technical Paper}, publisher = {SAE}, address = {Warrendale}, issn = {0148-7191}, doi = {https://doi.org/10.4271/2025-01-0294}, year = {2025}, language = {en} } @article{HaidenRichter2025, author = {Haiden, Michael and Richter, Florian}, title = {Autonomous weapons: considering the rights and interests of soldiers}, volume = {27}, pages = {53}, journal = {Ethics and Information Technology}, number = {4}, publisher = {Springer}, address = {Dordrecht}, issn = {1388-1957}, doi = {https://doi.org/10.1007/s10676-025-09859-w}, year = {2025}, abstract = {The development of autonomous weapons systems (AWSs), which would make decisions on the battlefield without direct input from humans, has the potential to dramatically change the nature of war. Due to the revolutionary potential of these technologies, it is essential to discuss their moral implications. While the academic literature often highlights their morally problematic nature, with some proposing outright banning them, this paper highlights an important benefit of AWSs: protecting the lives, as well as the mental and physical health of soldiers. If militaries can avoid sending humans into dangerous situations or relieve drone operators from tasks that lead to lifelong trauma, this obviously appears morally desirable - especially in a world where many soldiers are still drafted against their will. Nonetheless, there are many arguments against AWSs. However, we show that although AWSs are potentially dangerous, criticisms apply equally to human soldiers and weapons steered by them. The combination of both claims makes a strong case against a ban on AWSs where it is possible. Instead, researchers should focus on mitigating their drawbacks and refining their benefits.}, language = {en} } @article{GrafSteinhauserVaculinetal.2025, author = {Graf, Michael and Steinhauser, Dagmar and Vaculin, Ondrej and Brandmeier, Thomas}, title = {Impact of Adverse Weather on Road Safety: A Survey of Test Methods for Enhancing Safety of Automated Vehicles and Sensor Robustness in Challenging Environmental Conditions}, volume = {13}, journal = {IEEE Access}, publisher = {IEEE}, address = {New York}, issn = {2169-3536}, doi = {https://doi.org/10.1109/ACCESS.2025.3622501}, pages = {179817 -- 179838}, year = {2025}, abstract = {Adverse weather conditions can significantly affect environmental sensors and reduce the ability of automated vehicles to interpret the environment. This can lead to the failure of driving and safety functions. To validate and increase the robustness of these, several adverse weather test methods have been introduced in recent years. The survey first gives an overview of the current traffic and accident analysis with a focus on adverse weather influences to assess the most relevant weather phenomena. Overall, rain and glare are the statistically most important adverse weather phenomena in terms of accidents. Heavy fog is rare but can cause very serious accidents. In a second step, meteorological knowledge is incorporated and the key environmental indicators for the respective weather conditions are determined, particularly taking the environmental sensor characteristics into account. Both sets of information are then utilized to provide a qualified overview of simulative and physical test methods used to reproduce critical adverse weather situations. These methods are employed to investigate the disturbance effects of inclement weather on sensors and to test the robustness of automated vehicles. The paper reveals that various approaches are used to reproduce weather effects and that test methods, each with different advantages and disadvantages, have been developed to varying degrees depending on the type of the weather phenomena. Overall, this review integrates perspectives from road safety research, meteorology, and testing methodologies to provide new insights into the validation of automated driving systems in challenging weather conditions.}, language = {en} } @article{BauderPaulaKubjatkoetal.2024, author = {Bauder, Maximilian and Paula, Daniel and Kubjatko, Tibor and Schweiger, Hans-Georg}, title = {Evaluation of the vehicle behaviour when not responding to the take-over request of Tesla Autopilot and Volkswagen Travel Assist}, volume = {2023}, journal = {Transportation Research Procedia}, number = {74}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2352-1465}, doi = {https://doi.org/10.1016/j.trpro.2023.11.167}, pages = {450 -- 457}, year = {2024}, abstract = {In this work, driving tests were carried out with a Tesla Model 3 and VW ID.4. During the tests, the vehicles were controlled by an SAE Level 2 system (Tesla Autopilot and VW Travel Assist). The study aimed to investigate the behaviour of the vehicles when the driver does not react to the take-over request of the vehicle while it is in a non-critical driving situation. The aim was to clarify whether this can lead to accidents from a purely technical point of view and whether there is still room for improvement. As a result, it could be determined that a non-reaction of the driver to the take-over request leads to system-initiated braking decelerations, which can lead to a rear-end collision by the following traffic. Furthermore, secondary accidents are possible if the driver fails to act as a fallback. This could be reduced by improving the applicable UNECE standard R79 by specifying deceleration values for this case. In addition, the risk of an accident could be reduced by decelerating earlier and warning the environment. For this purpose, a driver monitoring system would also be recommended to allow situational decisions by the system. The implementation of the measures proposed could result in a significant increase in road safety while using these systems.}, language = {en} } @article{LangerBauderPaulaetal.2024, author = {Langer, Robin and Bauder, Maximilian and Paula, Daniel and Kubjatko, Tibor and Schweiger, Hans-Georg}, title = {Development of a model environment for autonomous driving}, volume = {2023}, journal = {Transportation Research Procedia}, number = {74}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2352-1465}, doi = {https://doi.org/10.1016/j.trpro.2023.11.122}, pages = {133 -- 140}, year = {2024}, abstract = {Developing automated driving functions can be elaborate and cost-intensive. Simulation helps to decrease both, the effort and the costs. With physical model environments of a smaller scale, automotive research can be improved even further. This work presents a method with five steps for building a scaled model environment to answer research questions regarding autonomous driving functions in the automotive domain. For this purpose, the five steps of the method are first introduced and explained. Each step comes with indications that can be further extended. Then, the method is performed by creating a model environment. The model environment build in this work is a recreation of an urban intersection in Ingolstadt, Germany, in the scale of 1:10. In addition to two model vehicles, the model environment consists of pedestrians and traffic control elements such as signs, signals, various lanes and road markings. The advantages of the model environment are low costs and high reproducibility. On the other hand it comes with limitations. For example, the materials used for construction (polylactic acid) are different from the materials in reality. The aim of this work was achieved by providing a method for building a model environment for automotive domain. The limitations of the built model environment and actual testing of automated driving functions will be performed in the future.}, language = {en} } @article{BirkBochert2009, author = {Birk, Carolin and Bochert, Jana}, title = {Time-domain soil-structure interaction analysis using the scaled boundary finite element method and rational stiffness approximations}, volume = {8}, journal = {Proceedings in applied mathematics and mechanics: PAMM}, number = {1}, publisher = {Wiley}, address = {Weinheim}, issn = {1617-7061}, doi = {https://doi.org/10.1002/pamm.200810265}, pages = {10265 -- 10266}, year = {2009}, language = {en} } @article{Bochert2010, author = {Bochert, Jana}, title = {Wave propagation in the soil due to a falling chimney}, volume = {9}, journal = {Proceedings in applied mathematics and mechanics: PAMM}, number = {1}, publisher = {Wiley}, address = {Weinheim}, issn = {1617-7061}, doi = {https://doi.org/10.1002/pamm.200910025}, pages = {95 -- 98}, year = {2010}, language = {en} } @article{KiranAzzamEndischetal.2025, author = {Kiran, Iqra and Azzam, Mohamed and Endisch, Christian and Butt, Nauman Zafar and Lewerenz, Meinert}, title = {Evaluation of Calendar Aging in Cells with Graphite: Silicon Anode Using Float Current Analysis Under the Influence of Voltage Hysteresis}, volume = {172}, pages = {100529}, journal = {Journal of The Electrochemical Society}, number = {10}, publisher = {IOP Publishing}, address = {Bristol}, issn = {1945-7111}, doi = {https://doi.org/10.1149/1945-7111/ae0fe8}, year = {2025}, abstract = {This study investigates the calendar aging of lithium-ion batteries with graphite-silicon anodes using float current analysis. While float current analysis is already a proven method for assessing aging in cells with graphite-based anodes, the presence of silicon introduces additional complexities due to its voltage hysteresis. We address this by comparing the results for the scaling factor separately for charge and discharge. The scaling factor is initially derived from charge and discharge GITT measurements on fresh cells, including an aging-induced shift among both electrode curves. This approach enables quantification of SEI growth ISEI growth, and cathode lithiation current ICL bridging measured results for float currents with capacity loss rate. As a result, the scaling factor during charge delivered the most meaningful results regarding fitted aging currents. By extending the estimation method based on the Arrhenius equation across temperatures from 5 °C to 50 °C, our model is validated against measured float currents, improving the predictive accuracy of long-term aging trends in silicon-containing anodes. Electrochemical impedance spectroscopy provided further insights into degradation mechanisms, revealing a strong correlation between cathode lithiation by salt decomposition and resistance increase at high voltages (⩾4.15 V), confirmed by pulse tests at 100\% SOC showing a sharp resistance increase at elevated voltages.}, language = {en} } @article{MoralesTorricosGallenbergerDroeseetal.2025, author = {Morales Torricos, Pablo and Gallenberger, Andreas and Droese, Dominik and Kowal, Julia and Endisch, Christian and Lewerenz, Meinert}, title = {Analyzing the Impact of Electrolyte Motion Induced Salt Inhomogeneity Effect on Apparent Aging: Role of Current Rates and Temperature Effects in Accelerated Cyclic Aging Tests in Li-Ion Batteries}, volume = {9}, pages = {e202500559}, journal = {Batteries \& Supercaps}, number = {4}, publisher = {Wiley}, address = {Weinheim}, issn = {2566-6223}, doi = {https://doi.org/10.1002/batt.202500559}, year = {2025}, abstract = {Accurate and rapid assessment of lithium-ion battery lifetime is essential for predicting remaining lifespan, enabling the selection of appropriate cells for specific applications and determining suitability for second-life use. However, accelerated cyclic aging tests may underestimate a cell's total lifespan due to exaggerated capacity fade that does not occur under real-world conditions. This increased capacity fade is primarily driven by electrolyte motion induced salt inhomogeneity (EMSI) and loss of homogeneity of lithium distribution (HLD). This study investigates the impact of varying charge and discharge currents on capacity loss during accelerated testing in compressed NMC-Gr pouch cells. Most of the capacity loss observed during cycling is fully recoverable after a resting period, with some cells regaining up to 81\% of their lost capacity. Contrary to expectations, cells subjected to the highest cycling currents do not exhibit the greatest recoverable capacity loss. This phenomenon can be attributed to the interplay between current and temperature: While higher cycling currents exacerbate EMSI and HLD loss, they simultaneously elevate cell temperature, which mitigates EMSI by weakening polarization, enhancing electrolyte salt diffusion and homogenizing lithium distribution in the anode. Consequently, higher temperatures counteract HLD and EMSI-effect and therefore reduce apparent capacity loss.}, language = {en} } @article{MieruchKrepsChouaietal.2025, author = {Mieruch, Sebastian and Kreps, Gast{\´o}n and Chouai, Mohamed and Reimers, Felix and Vredenborg, Myriel and Rabe, Benjamin and Tippenhauer, Sandra and Behrendt, Axel}, title = {SalaciaML-2-Arctic - a deep learning quality control algorithm for Arctic Ocean temperature and salinity data}, volume = {12}, pages = {1661208}, journal = {Frontiers in Marine Science}, publisher = {Frontiers Media}, address = {Lausanne}, issn = {2296-7745}, doi = {https://doi.org/10.3389/fmars.2025.1661208}, year = {2025}, abstract = {We have extended a classical quality control (QC) algorithm by integrating a deep learning neural network, resulting in SalaciaML-2-Arctic , a tool for automated QC of Arctic Ocean temperature and salinity profile data. The neural network component was trained on the Unified Database for Arctic and Subarctic Hydrography (UDASH), which has been quality-controlled and labeled by expert oceanographers. SalaciaML-2-Arctic successfully reproduces human expertise by correcting misclassifications made by the classical algorithm, reducing False Negatives (samples incorrectly classified as "bad") by 96\% for temperature and 99\% for salinity. When used in combination with a visual post-QC by human experts, it achieves a workload reduction of approximately 60\% for temperature and 85\% for salinity. All code and data required to reproduce the analysis or apply the method to other datasets are openly available via PANGAEA and GitHub. Moreover, SalaciaML-2-Arctic is accessible as a browser-based application at https://mvre.autoqc.cloud.awi.de, enabling its use without software installation or programming knowledge.}, language = {en} } @article{StoecklHolzhammer2024, author = {St{\"o}ckl, Martin and Holzhammer, Uwe}, title = {Integration von Flexibilit{\"a}t in die Energieversorgung}, volume = {35}, journal = {Ern{\"a}hrung aktuell - der Lebensmittelbrief}, subtitle = {Ein Aspekt zur Erreichung der Klimaziele und zur Stabilisierung der Energiekosten - Fallbeispiel K{\"u}hlhaus}, number = {Mai/Juni}, publisher = {LID}, address = {Lampertheim}, issn = {1866-6787}, pages = {46 -- 47}, year = {2024}, language = {de} } @article{HuberSaengerHamacher2013, author = {Huber, Matthias and S{\"a}nger, Florian and Hamacher, Thomas}, title = {Das „Post-EEG"-Potenzial von Photovoltaik im privaten Strom- und W{\"a}rmesektor}, volume = {63}, journal = {Energiewirtschaftliche Tagesfragen: et}, number = {9}, publisher = {VDE Verlag}, address = {Berlin}, issn = {0013-743X}, pages = {57 -- 61}, year = {2013}, language = {de} } @article{HamacherHuberDorfneretal.2013, author = {Hamacher, Thomas and Huber, Matthias and Dorfner, Johannes and Schaber, Katrin and Bradshaw, Alex M.}, title = {Nuclear fusion and renewable energy forms: Are they compatible?}, volume = {88}, journal = {Fusion Engineering and Design}, number = {6-8}, publisher = {Elsevier}, address = {New York}, issn = {1873-7196}, doi = {https://doi.org/10.1016/j.fusengdes.2013.01.074}, pages = {657 -- 660}, year = {2013}, language = {en} } @article{BrandenbergHuberSilbernagl2016, author = {Brandenberg, Ren{\´e} and Huber, Matthias and Silbernagl, Matthias}, title = {The summed start-up costs in a unit commitment problem}, volume = {5}, journal = {EURO Journal on Computational Optimization}, number = {1-2}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2192-4406}, doi = {https://doi.org/10.1007/s13675-016-0062-2}, pages = {203 -- 238}, year = {2016}, language = {en} } @article{HuberRogerHamacher2015, author = {Huber, Matthias and Roger, Albert and Hamacher, Thomas}, title = {Optimizing long-term investments for a sustainable development of the ASEAN power system}, volume = {2015}, journal = {Energy}, number = {88}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0360-5442}, doi = {https://doi.org/10.1016/j.energy.2015.04.065}, pages = {180 -- 193}, year = {2015}, language = {en} } @article{SilbernaglHuberBrandenberg2015, author = {Silbernagl, Matthias and Huber, Matthias and Brandenberg, Ren{\´e}}, title = {Improving Accuracy and Efficiency of Start-Up Cost Formulations in MIP Unit Commitment by Modeling Power Plant Temperatures}, volume = {31}, journal = {IEEE Transactions on Power Systems}, number = {4}, publisher = {IEEE}, address = {New York}, issn = {1558-0679}, doi = {https://doi.org/10.1109/TPWRS.2015.2450776}, pages = {2578 -- 2586}, year = {2015}, language = {en} } @article{HuberWeissbart2015, author = {Huber, Matthias and Weissbart, Christoph}, title = {On the optimal mix of wind and solar generation in the future Chinese power system}, volume = {2015}, journal = {Energy}, number = {90}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1873-6785}, doi = {https://doi.org/10.1016/j.energy.2015.05.146}, pages = {235 -- 243}, year = {2015}, language = {en} } @article{KuhnHuberDorfneretal.2015, author = {Kuhn, Philipp and Huber, Matthias and Dorfner, Johannes and Hamacher, Thomas}, title = {Challenges and opportunities of power systems from smart homes to super-grids}, volume = {45}, journal = {Ambio}, number = {Suppl 1}, publisher = {Springer}, address = {Dordrecht}, issn = {1654-7209}, doi = {https://doi.org/10.1007/s13280-015-0733-x}, pages = {50 -- 62}, year = {2015}, abstract = {The world's power systems are facing a structural change including liberalization of markets and integration of renewable energy sources. This paper describes the challenges that lie ahead in this process and points out avenues for overcoming different problems at different scopes, ranging from individual homes to international super-grids. We apply energy system models at those different scopes and find a trade-off between technical and social complexity. Small-scale systems would require technological breakthroughs, especially for storage, but individual agents can and do already start to build and operate such systems. In contrast, large-scale systems could potentially be more efficient from a techno-economic point of view. However, new political frameworks are required that enable long-term cooperation among sovereign entities through mutual trust. Which scope first achieves its breakthrough is not clear yet.}, language = {en} } @article{TutunaruBoschGresshakeetal.2023, author = {Tutunaru, Robin and Bosch, Stephan and Greßhake, Lukas and Holzhammer, Uwe}, title = {Ein Konzept f{\"u}r eine GIS-gest{\"u}tzte Visualisierung der spezifischen Anforderungen von regionalen Akteuren der Energiewende an die Landnutzung}, volume = {2023}, journal = {AGIT: Journal f{\"u}r Angewandte Geoinformatik}, number = {9}, publisher = {Wichmann Verlag}, address = {Berlin}, issn = {2509-713X}, doi = {https://doi.org/10.14627/537742005}, pages = {44 -- 49}, year = {2023}, abstract = {F{\"u}r eine nachhaltige Energiewende werden Konzepte ben{\"o}tigt, welche die techno-{\"o}konomische und sozial-{\"o}kologische Komplexit{\"a}t regionaler Standortentscheidungen f{\"u}r erneuerbare Energien (EE) visualisieren k{\"o}nnen. Dabei m{\"o}chten wir die Ergebnisse mittels Geographischer Infor-mationssysteme (GIS) so visualisieren, dass sie von jedem Akteur nachvollzogen werden k{\"o}nnen und einen konstruktiven Austausch zur Wertigkeit bestimmter Fl{\"a}chen zwischen allen Akteuren erlauben.}, language = {de} } @article{MatthiasSchuellerStoecklietal.2018, author = {Matthias, Huber and Sch{\"u}ller, Simone and St{\"o}ckli, Marc and Wohlrabe, Klaus}, title = {Maschinelles Lernen in der {\"o}konomischen Forschung}, volume = {71}, journal = {Ifo Schnelldienst}, number = {07}, publisher = {Ifo Institut}, address = {M{\"u}nchen}, issn = {2199-4455}, url = {https://www.ifo.de/publikationen/2018/aufsatz-zeitschrift/maschinelles-lernen-der-oekonomischen-forschung}, pages = {50 -- 53}, year = {2018}, language = {de} } @article{MehtaZoerner2025, author = {Mehta, Kedar and Z{\"o}rner, Wilfried}, title = {Crop selection in Agri-PV: international review based strategic decision-making model}, volume = {2025}, pages = {100143}, journal = {Solar Compass}, number = {16}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2772-9400}, doi = {https://doi.org/10.1016/j.solcom.2025.100143}, year = {2025}, abstract = {Agri-Photovoltaics (Agri-PV) is well known for its dual land use, integrating solar energy generation with agricultural production. This not only optimizes land use but also enhances food and energy security. Since Agri-PV is closely linked with crop cultivation, it is not solely about energy generation but also requires careful consideration of crop suitability within Agri-PV installations. Despite its significance, there is limited information available to guide decision-making for crop selection in Agri-PV systems. Selecting suitable crops remains a complex challenge, as factors such as shading tolerance, water requirements, and economic viability vary across different geographical and climatic conditions. This study develops a novel, review-based decision support model for crop selection in Agri-PV systems, synthesizing international research and case studies to provide a structured framework for decision-making. The model is based on 12 main crop typologies and key parameters such as water use, shading adaptability, crop yield/economic potential, and space requirements, derived from 117 research articles and case studies from 25 countries. By leveraging insights from successful international implementations, the model provides a practical framework for policymakers, farmers, and energy planners to enhance the sustainability and efficiency of Agri-PV projects. Findings suggest that crop selection strategies must align with regional climate conditions and PV system design to maximize synergies between energy and food production. High-value crops that require less space and have higher shade tolerance are more suitable for small-scale or decentralized Agri-PV systems. Future research should focus on advanced modeling techniques, AI-driven optimization, and real-world pilot studies to further refine decision-making in Agri-PV deployment. This study contributes to the growing body of knowledge on Agri-PV systems by providing a novel crop suitability matrix for effective decision-making.}, language = {en} } @article{PrueferWeisserGlushychetal.2025, author = {Pr{\"u}fer, Kevin and Weisser, Eduard and Glushych, Viktor and Tr{\"o}ber, Philipp and Hartmann, Christoph and Volk, Wolfram}, title = {Seebeck Coefficient Modification via Extreme High-Speed Laser Material Deposition for Tool Materials}, volume = {2025}, journal = {Procedia CIRP}, number = {137}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-8271}, doi = {https://doi.org/10.1016/j.procir.2025.02.265}, pages = {265 -- 270}, year = {2025}, abstract = {During blanking and cold forming of metals, thermoelectricity almost always occurs. While thermoelectric voltages can be used for temperature measurement via a tool-workpiece thermocouple, currents significantly influence adhesion formation. In both cases, the thermoelectric behavior of tool and workpiece materials, characterized by the Seebeck coefficient, plays a decisive role. While a large difference in coefficients increases the accuracy of temperature measurement, similar coefficients improve wear behavior. Currently, there is no method to adjust the Seebeck coefficient of materials without experimental procedures, which restricts the selection of tool materials based on their Seebeck coefficient. This study presents a novel approach for adjusting the Seebeck coefficient of tool steels using tailored coatings applied by extreme high-speed laser material deposition (EHLA). Therefore, an analysis was conducted to investigate the effects of chemical composition, substrate material and its heat treatment on the thermoelectric and mechanical behavior of the coating. The results demonstrate that targeted modification via tailored EHLA coatings is possible.}, language = {en} } @article{HennighausenYarzaNavarroSchaerEller2025, author = {Hennighausen, Christine and Yarza Navarro-Sch{\"a}r, Vanessa Gabriela and Eller, Eric}, title = {AI-Mediated Communication in E-Commerce: Implications for Customer Trust}, volume = {49}, pages = {e70111}, journal = {International Journal of Consumer Studies}, number = {5}, publisher = {Wiley}, address = {Oxford}, issn = {1470-6431}, doi = {https://doi.org/10.1111/ijcs.70111}, year = {2025}, abstract = {Generative artificial intelligence (AI) technologies offer new potential for marketing and customer operations, such as automation and personalization of customer service. However, more must be understood about how AI-mediated communication (AI-MC) affects customer trust. We conducted an online experiment to investigate the impact of AI-MC on customer trust in an online retail context. We presented N = 294 participants with two email scenarios describing a product return context, labeled as written by either (a) a service employee, (b) a service employee assisted by AI, or (c) AI on behalf of the service employee. We further varied levels of service criticality to consider customers' perception of vulnerability. Our findings revealed higher customer trust ratings in the online retailer when the email communications were written by the service employee, compared to those written by the service employee assisted by AI. When analyzing the different components of trust, it was found that communications written by the service employee assisted by AI reduced perceptions of both the online retailer's benevolence and integrity, while communications written by AI on behalf of the employee led to lower perceived integrity of the online retailer. Surprisingly, service criticality did not affect trust ratings. We discuss the managerial implications of integrating generative AI into customer service in the context of the EU AI Act, which came into force on 1 August 2024.}, language = {en} } @article{Crompton2021, author = {Crompton, Laura}, title = {The decision-point-dilemma: Yet another problem of responsibility in human-AI interaction}, volume = {2021}, pages = {100013}, journal = {Journal of Responsible Technology}, number = {7-8}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2666-6596}, doi = {https://doi.org/10.1016/j.jrt.2021.100013}, year = {2021}, abstract = {AI as decision support supposedly helps human agents make 'better' decisions more efficiently. However, research shows that it can, sometimes greatly, influence the decisions of its human users. While there has been a fair amount of research on intended AI influence, there seem to be great gaps within both theoretical and practical studies concerning unintended AI influence. In this paper I aim to address some of these gaps, and hope to shed some light on the ethical and moral concerns that arise with unintended AI influence. I argue that unintended AI influence has important implications for the way we perceive and evaluate human-AI interaction. To make this point approachable from both the theoretical and practical side, and to avoid anthropocentrically-laden ambiguities, I introduce the notion of decision points. Based on this, the main argument of this paper will be presented in two consecutive steps: i) unintended AI influence doesn't allow for an appropriate determination of decision points - this will be introduced as decision-point-dilemma, and ii) this has important implications for the ascription of responsibility.}, language = {en} } @article{KaiserSchallnerJungbluthetal.2024, author = {Kaiser, Carolin and Schallner, Ren{\´e} and Jungbluth, Michael and Cato, Patrick and Ulrichshofer, Anna}, title = {AI-powered Digital Sales Assistants}, volume = {6}, journal = {NIM Insights}, subtitle = {The Future of Shopper Engagement}, publisher = {NIM}, address = {N{\"u}rnberg}, issn = {2944-5981}, url = {https://www.nim.org/publikationen/detail/ai-powered-digital-sales-assistants}, pages = {10 -- 13}, year = {2024}, language = {en} } @article{NikoloskiBotzenTalevietal.2025, author = {Nikoloski, Marjan and Botzen, Wouter and Talevi, Marta and Blasch, Julia and Banerjee, Sanchayan and Cazenave, M. P.}, title = {Methods to Tailor Behavioural Interventions: A Systematic Review of Categorisation Approaches in (Energy) Economics}, volume = {19}, journal = {International Review of Environmental and Resource Economics}, number = {2}, publisher = {Now Publishers}, address = {Boston}, issn = {1932-1473}, doi = {https://doi.org/10.1561/101.00000175}, pages = {117 -- 158}, year = {2025}, language = {en} } @article{ChoeDongBoschetal.2025, author = {Choe, Mungyeong and Dong, Jiayuan and Bosch, Esther and Alvarez, Ignacio and Oehl, Michael and Jallais, Christophe and Alsaid, Areen and Jeon, Myounghoon}, title = {Driving with Empathy: Workshop Report on AI-driven In-vehicle Empathic Agent Design for Automated Vehicles}, volume = {69}, journal = {Proceedings of the Human Factors and Ergonomics Society Annual Meeting}, number = {1}, publisher = {Sage}, address = {London}, issn = {1071-1813}, doi = {https://doi.org/10.1177/10711813251369800}, pages = {1770 -- 1775}, year = {2025}, language = {en} } @article{Klages2025, author = {Klages, Anna-Lisa}, title = {Andreas Schadauer: Wissen in Zahlen? Zur Herstellung quantitativen Wissens in der Sozialwissenschaft. Bielefeld: transcript 2022, 254 S., ISBN 978-3-8376-6398-3, 45,00 €}, volume = {26}, journal = {ZQF - Zeitschrift f{\"u}r Qualitative Forschung}, number = {1-2025}, publisher = {Verlag Barbara Budrich}, address = {Leverkusen}, issn = {2196-2138}, doi = {https://doi.org/10.3224/zqf.v26i1.09}, pages = {116 -- 120}, year = {2025}, abstract = {Mit der auf seiner Dissertation aufbauenden Monografie Wissen in Zahlen? Zur Herstellung quantitativen Wissens in der Sozialwissenschaft, zeigt Andreas Schadauer anhand von zwei empirischen Fallstudien auf, wie Umfragedaten zun{\"a}chst zu Zahlen und Statistiken werden, denen im weiteren Verlauf der Rezeption ein nahezu faktischer Status der Objektivit{\"a}t zugeschriebenwird. Daf{\"u}r zeichnet er in der ersten Fallstudie den Weg der Daten nach, die im Rahmen der Household Finance and Consumption Survey (HFCS) der {\"O}sterreichischen Nationalbank (OeNB) zwischen 2010-2011 generiert wurden. Als zweite Fallstudie w{\"a}hlt er die {\"o}sterreichische Immobilienverm{\"o}genserhebung von 2008, die zum Zeitpunkt der Feldforschung bereits abgeschlossen war. Beide Datens{\"a}tze wurden mit dem Anspruch an Repr{\"a}sentativit{\"a}t generiert und stellen in der {\"o}sterreichischen Debatte um die nationale Verm{\"o}gensverteilung wichtige Referenzen dar. Mit den „multi-sited" (S. 19, 59 ff., Hervorh. i. Orig.) Fallstudien verfolgt Schadauer zwei Ziele: Zum einen hinterfragt er ein in vielen Gesellschaftsteilen vorherrschendes normativ-positivistisches Wissenschaftsverst{\"a}ndnis, welches er als elementar f{\"u}r die unkritische Rezeption von Statistiken als die Abbildung von Realit{\"a}t im Singular sieht. Zum anderen stellt er sich „gegen die Vorstellung, Wissenschaft werde von der Gesellschaft determiniert und Erfolg h{\"a}nge dann davon ab, was gesellschaftlich vorgegeben und akzeptiert wird (vgl. z. B. Bloor, 1991)" (S. 16). Um sich diesen Zielen anzun{\"a}hern, geht er der Frage nach, wie Zahlen und Statistiken so wichtig werden, dass sie mediale wie politische Diskurse formen, gar f{\"u}r Gesellschaftsgruppen beziehungsweise eine ganze Nation sprechen k{\"o}nnen.}, language = {de} } @article{KuthOberbergerKawalaetal.2025, author = {Kuth, Bastian and Oberberger, Max and Kawala, Felix and Reitter, Sander and Michel, Sebastian and Chajdas, Matth{\"a}us and Meyer, Quirin}, title = {Real-time meshlet decompression}, volume = {2025}, pages = {104292}, journal = {Computers \& Graphics}, number = {131}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1873-7684}, doi = {https://doi.org/10.1016/j.cag.2025.104292}, year = {2025}, language = {en} } @article{WeihmayrBirknerMarzbanietal.2025, author = {Weihmayr, Daniel and Birkner, Christian and Marzbani, Hormoz and Jazar, Reza}, title = {Data-Driven Vehicle Dynamics: Lever-Aging SINDy for Optimization-Based Vehicular Motion Planning}, volume = {13}, journal = {IEEE Access}, publisher = {IEEE}, address = {New York}, issn = {2169-3536}, doi = {https://doi.org/10.1109/ACCESS.2025.3594892}, pages = {136584 -- 136597}, year = {2025}, abstract = {Motion planning remains a crucial challenge for the widespread adoption of autonomous vehicles. This paper presents a novel approach that integrates an empirical plant model within an optimization-based motion planning architecture. The model prioritizes performance and efficiency while maintaining interpretability. We introduce a methodology that utilizes a data-driven approach to derive an interpretable description of the evolution of vehicle states over time using sparse regression. This method allows effective learning from limited datasets, eliminating the need for extensive and expensive data collection. Our approach addresses the trade-off between performance and accuracy, enabling adaptation to diverse driving scenarios. We affirm the efficacy of our methodology via an extensive analysis, evaluating the independent prediction performance across diverse metrics. Additionally, we examine the overall tracking performance when incorporated into an optimization-based framework. Finally, we present a comparative analysis and discuss the subsequent impact on overall motion planning and decision-making in relation to a state-of-the-art single-track model.}, language = {en} } @article{KwisdaKremerSievertsenetal.2025, author = {Kwisda, Sebastian and Kremer, Malte and Sievertsen, Niels and Gassmann, Oliver and Hartl, Dominik and Schuhmacher, Alexander}, title = {Does pharma R\&D need a strategic reset? Adapting to a changing US landscape}, volume = {30}, pages = {104442}, journal = {Drug Discovery Today}, number = {9}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1878-5832}, doi = {https://doi.org/10.1016/j.drudis.2025.104442}, year = {2025}, abstract = {R\&D productivity has long challenged research-based pharmaceutical companies, raising concerns about the sustainability of their research-driven business models. These firms have traditionally relied on the U.S. as a stable hub for biomedical innovation, skilled talent, and high-price markets—supporting the biotech-leveraged pharma company (BIPCO) model However, recent geopolitical shifts—especially under the new Trump administration, including FDA budget cuts, reduced U.S. research funding, and pharmaceutical tariffs—are destabilizing this foundation. The once-reliable "safe harbor" is no longer secure. As a result, pharma R\&D now faces strategic risks beyond its prior scope. With the weakening of the U.S.-centered innovation model, companies must rethink R\&D pipelines, secure key technologies, maintain global clinical networks, and adjust supply chain and tax strategies. The viability of the current R\&D model—rooted in U.S. leadership and premium markets—is now uncertain, requiring urgent strategic realignment.}, language = {en} } @article{SchweigerJanesPfeiffer2025, author = {Schweiger, Stefan and Janes, Abeer and Pfeiffer, Julia}, title = {Shifting expectations - how the responsibility for the habitability of the planet is shifting}, journal = {Environmental Sociology}, publisher = {Taylor \& Francis}, address = {London}, issn = {2325-1042}, doi = {https://doi.org/10.1080/23251042.2025.2542003}, year = {2025}, language = {en} } @article{MehtaLambaSinhaetal.2025, author = {Mehta, Kedar and Lamba, Ravita and Sinha, Sunanda and Kumar, Nand}, title = {BIPV in India: Opportunities, challenges, and pathways for urban planning and smart cities}, volume = {2025}, pages = {100133}, journal = {Solar Compass}, number = {15}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2772-9400}, doi = {https://doi.org/10.1016/j.solcom.2025.100133}, year = {2025}, abstract = {As India urbanizes rapidly, sustainable energy solutions have become a priority to meet rising energy demands and mitigate environmental impacts. Building-Integrated Photovoltaics (BIPV) offer a promising approach to harness solar energy within urban infrastructure, transforming buildings into renewable energy assets. Unlike conventional rooftop PV systems, BIPV maximizes urban space utilization while enhancing architectural aesthetics and energy efficiency. However, the adoption of BIPV in India remains limited due to factors such as regulatory barriers, lack of standardized designs, and high initial costs. This study uses SWOT (Strengths, Weaknesses, Opportunities, Threats) and TOWS (Threats, Opportunities, Weaknesses, Strengths) analyses to assess the potential, opportunities, and challenges of BIPV in India's urban planning. It then discusses policy implications and offers practical recommendations for implementation in Indian cities. Key findings of this study indicate that BIPV adoption in India can significantly contribute to urban sustainability by reducing carbon emissions, improving energy self-sufficiency, and lowering long-term operational costs. The SWOT and TOWS analysis reveal that while BIPV presents opportunities for smart urban integration, challenges such as high initial investments and lack of awareness must be addressed through targeted policies and incentives. Additionally, global case studies highlight successful BIPV implementations, providing valuable lessons for India's urban planning strategies.}, language = {en} } @article{CarattiniBlasch2024, author = {Carattini, Stefano and Blasch, Julia}, title = {Nudging when the descriptive norm is low: Evidence from a carbon offsetting field experiment}, volume = {2024}, pages = {102194}, journal = {Journal of Behavioral and Experimental Economics}, number = {110}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2214-8043}, doi = {https://doi.org/10.1016/j.socec.2024.102194}, year = {2024}, language = {en} } @article{NikoloskiBotzenBanerjeeetal.2025, author = {Nikoloski, Marjan and Botzen, Wouter and Banerjee, Sanchayan and Blasch, Julia}, title = {Clustering Dutch citizens into behavioural phenotypes to understand green energy investment preferences}, volume = {2025}, pages = {112566}, journal = {Economics Letters}, number = {255}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1873-7374}, doi = {https://doi.org/10.1016/j.econlet.2025.112566}, year = {2025}, abstract = {People differ in their underlying economic preferences and needs for energy retrofits. Accelerating the energy transition, therefore, requires tailoring personalised solutions for distinct groups of individuals. In this paper, we create behavioural phenotypes of green energy investors in the residential sector of the Netherlands. Using a latent class analysis on a representative sample of 2245 respondents, we identify four distinct classes of investors: Comfort-driven Rationalists, Financially Driven Rationalists, Policy-driven Environmentalists, and Erratic Choosers. We innovate upon the literature by linking class profiling to economic preferences and behavioural biases, alongside socio-demographic and household characteristics. Our findings can help practitioners design bottom-up tailored behavioural interventions to accelerate the uptake of green energy investments.}, language = {en} } @article{WellerNalavadeGmelchetal.2025, author = {Weller, Julian and Nalavade, Sumit and Gmelch, Oliver and Migenda, Nico and Heuwinkel, Tim and Dumitrescu, Roman}, title = {Advanced Analytics in Smart Factories: Towards an actionable Taxonomy for Prescriptive Analytics Use Cases}, volume = {2025}, journal = {Procedia CIRP}, number = {134}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-8271}, doi = {https://doi.org/10.1016/j.procir.2025.03.016}, pages = {229 -- 234}, year = {2025}, abstract = {Prescriptive analytics use cases support in the decision-making process and focus on providing actionable guidance (e.g. in the smart factory) based on a set of problems and possible solutions. Smart factories represent the core of Industry 4.0 and can greatly benefit from the implementation of advanced analytics use cases. Prescriptive analytics enables operational excellence in smart factories by providing actionable insights and decisions to (autonomously) steer and govern areas of a factory. Still, a widespread adoption of principles of prescriptive analytics is not reached, due to the complexity and interconnectivity of different use cases. Additionally, a lack of methodological support for developing prescriptive analytics use cases is observed. We support the adoption and ideation of prescriptive analytics use cases by providing a taxonomy for prescriptive analytics use cases in smart factories for researchers. To make the findings from the taxonomy actionable, we develop a concept on how to transform existing analytics use cases or use case ideas into prescriptive analytics use cases to support practitioners. We focus on the transformation of existing analytics use cases into prescriptive analytics use cases to lower the barrier to entry for the development of prescriptive use cases. The findings are based on the taxonomy development method by Nickerson. Our evaluation is supported by expert interviews as well as focus groups.}, language = {en} } @article{PiendlRadtkeJacobsenetal.2025, author = {Piendl, Daniel and Radtke, Maximilian-Peter and Jacobsen, Hendrik and Bock, J{\"u}rgen and Zaeh, Michael}, title = {Predictive Maintenance of Ball Screws: A Comparative Study Using Real-World Industrial Data}, volume = {2025}, journal = {Procedia CIRP}, number = {134}, publisher = {Elsevier}, address = {Amsterdam}, issn = {2212-8271}, doi = {https://doi.org/10.1016/j.procir.2025.02.135}, pages = {390 -- 395}, year = {2025}, abstract = {Ball screws are widely used in machine tool feed drives. With increasing degradation of the ball screws, machining accuracy and economic efficiency decrease. Past investigations have shown that condition monitoring models can predict this degradation. However, these models are typically trained and evaluated using datasets derived from test benches, questioning their applicability to real machine tools. In this article, a comparative evaluation of a selection of these condition monitoring models using an industrial dataset is described. This dataset consists of measurement data from a total of nine ball screws used in three machine tools until failure. It was shown that when using data of multiple ball screws or machines, artificial neural networks or automated machine learning methods achieve a higher accuracy than statistical methods. However, for smaller datasets, statistical methods perform almost as well. The results provide an insight into the industrial applicability of the evaluated condition monitoring models.}, language = {en} } @article{HantiErnstFrey2013, author = {Hanti, Thomas and Ernst, Michael and Frey, Andreas}, title = {Higher Utilization of Multi-Core Processors in Dynamic Real-Time Software Systems}, volume = {1}, journal = {International Journal of Electrical Energy}, number = {4}, publisher = {Engineering and Technology Publishing}, address = {[s. l.]}, issn = {2301-3656}, pages = {249 -- 255}, year = {2013}, language = {en} } @article{BakBogomolovHenceyetal.2025, author = {Bak, Stanley and Bogomolov, Sergiy and Hencey, Brandon and Kochdumper, Niklas and Lew, Ethan and Potomkin, Kostiantyn}, title = {Reachability of Koopman linearized systems using explicit kernel approximation and polynomial zonotope refinement}, volume = {66}, journal = {Formal Methods in System Design}, number = {2}, publisher = {Springer}, address = {Dordrecht}, issn = {1572-8102}, doi = {https://doi.org/10.1007/s10703-024-00464-z}, pages = {307 -- 333}, year = {2025}, language = {en} } @article{SchuermannKlischatKochdumperetal.2021, author = {Sch{\"u}rmann, Bastian and Klischat, Moritz and Kochdumper, Niklas and Althoff, Matthias}, title = {Formal Safety Net Control Using Backward Reachability Analysis}, volume = {67}, journal = {IEEE Transactions on Automatic Control}, number = {11}, publisher = {IEEE}, address = {New York}, issn = {1558-2523}, doi = {https://doi.org/10.1109/TAC.2021.3124188}, pages = {5698 -- 5713}, year = {2021}, language = {en} } @article{VerdierKochdumperAlthoffetal.2022, author = {Verdier, Cees Ferdinand and Kochdumper, Niklas and Althoff, Matthias and Mazo, Manuel}, title = {Formal synthesis of closed-form sampled-data controllers for nonlinear continuous-time systems under STL specifications}, volume = {2022}, pages = {110184}, journal = {Automatica}, number = {139}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1873-2836}, doi = {https://doi.org/10.1016/j.automatica.2022.110184}, year = {2022}, abstract = {We propose a counterexample-guided inductive synthesis framework for the formal synthesis of closed-form sampled-data controllers for nonlinear systems to meet STL specifications over finite-time trajectories. Rather than stating the STL specification for a single initial condition, we consider an (infinite and bounded) set of initial conditions. Candidate solutions are proposed using genetic programming, which evolves controllers based on a finite number of simulations. Subsequently, the best candidate is verified using reachability analysis; if the candidate solution does not satisfy the specification, an initial condition violating the specification is extracted as a counterexample. Based on this counterexample, candidate solutions are refined until eventually a solution is found (or a user-specified number of iterations is met). The resulting sampled-data controller is expressed as a closed-form expression, enabling both interpretability and the implementation in embedded hardware with limited memory and computation power. The effectiveness of our approach is demonstrated for multiple systems.}, language = {en} } @article{WetzlingerKochdumperBaketal.2023, author = {Wetzlinger, Mark and Kochdumper, Niklas and Bak, Stanley and Althoff, Matthias}, title = {Fully Automated Verification of Linear Systems Using Inner and Outer Approximations of Reachable Sets}, volume = {68}, journal = {IEEE Transactions on Automatic Control}, number = {12}, publisher = {IEEE}, address = {New York}, issn = {1558-2523}, doi = {https://doi.org/10.1109/TAC.2023.3292008}, pages = {7771 -- 7786}, year = {2023}, language = {en} } @article{LuetzowKochdumperAlthoff2025, author = {L{\"u}tzow, Laura and Kochdumper, Niklas and Althoff, Matthias}, title = {Underapproximative Methods for the Order Reduction of Zonotopes}, volume = {9}, journal = {IEEE Control Systems Letters}, publisher = {IEEE}, address = {New York}, issn = {2475-1456}, doi = {https://doi.org/10.1109/LCSYS.2025.3577642}, pages = {1730 -- 1735}, year = {2025}, abstract = {Zonotopes are a widely used set representation in set-based computations due to their compact representation size and their closure under many relevant set operations. However, certain set operations, such as the Minkowski sum, increase the zonotope order, which in turn increases the computational cost of further computations. To address this issue, various order reduction techniques have been proposed, most of which focus on overapproximating the original zonotope. While overapproximations are crucial for safety verification, some applications - such as reachset-conformant identification and backward reachability analysis - require underapproximations (also referred to as inner-approximations). Besides providing a comprehensive survey of existing underapproximative order reduction methods, we propose four novel reduction methods in this letter. We analyze the computational cost of all methods and evaluate the tightness of the resulting underapproximations through numerical experiments on more than 2000 randomly generated zonotopes. The results demonstrate that our proposed methods achieve a favorable balance between computational efficiency and approximation accuracy, making them well-suited for applications in control, estimation, and system identification.}, language = {en} } @article{MehtaZoerner2025, author = {Mehta, Kedar and Z{\"o}rner, Wilfried}, title = {Optimizing Agri-PV System: Systematic Methodology to Assess Key Design Parameters}, volume = {18}, pages = {3877}, journal = {Energies}, number = {14}, publisher = {MDPI}, address = {Basel}, issn = {1996-1073}, doi = {https://doi.org/10.3390/en18143877}, year = {2025}, abstract = {Agrivoltaic (Agri-PV) systems face the critical challenge of balancing photovoltaic energy generation with crop productivity, yet systematic approaches to quantifying the trade-offs between these objectives remain scarce. In this study, we identify nine essential design indicators: panel tilt angle, elevation, photovoltaic coverage ratio, shading factor, land equivalent ratio, photosynthetically active radiation (PAR) utilization, crop yield stability index, water use efficiency, and return on investment. We introduce a novel dual matrix Analytic Hierarchy Process (AHP) to evaluate their relative significance. An international panel of eighteen Agri-PV experts, encompassing academia, industry, and policy, provided pairwise comparisons of these indicators under two objectives: maximizing annual energy yield and sustaining crop output. The high consistency observed in expert responses allowed for the derivation of normalized weight vectors, which form the basis of two Weighted Influence Matrices. Analysis of Total Weighted Influence scores from these matrices reveal distinct priority sets: panel tilt, coverage ratio, and elevation are most influential for energy optimization, while PAR utilization, yield stability, and elevation are prioritized for crop productivity. This methodology translates qualitative expert knowledge into quantitative, actionable guidance, clearly delineating both synergies, such as the mutual benefit of increased elevation for energy and crop outcomes, and trade-offs, exemplified by the negative impact of high photovoltaic coverage on crop yield despite gains in energy output. By offering a transparent, expert-driven decision-support tool, this framework enables practitioners to customize Agri-PV system configurations according to local climatic, agronomic, and economic contexts. Ultimately, this approach advances the optimization of the food energy nexus and supports integrated sustainability outcomes in Agri-PV deployment.}, language = {en} } @article{LabandStoecklMittreiteretal.2025, author = {Laband, Dana Laureen and St{\"o}ckl, Martin and Mittreiter, Annedore and Holzhammer, Uwe}, title = {Barrier Analysis of Flexibilization of Cooling Supply Systems}, volume = {18}, pages = {4133}, journal = {Energies}, number = {15}, publisher = {MDPI}, address = {Basel}, issn = {1996-1073}, doi = {https://doi.org/10.3390/en18154133}, year = {2025}, abstract = {The present study examines the barriers that prevent cooling system flexibility from being optimized. In the context of an increasing reliance on renewable energy sources, the necessity for flexible energy utilization is becoming increasingly apparent. A survey and discussion groups were conducted with various stakeholders within the cooling value chain to obtain their experiences and insights regarding barriers to flexibilization. The findings point out that economic, technological, and regulatory barriers are the primary factors impeding the implementation of flexible solutions. In particular, high investment costs, complex technical implementation, a lack of information, and a complicated legal framework were identified as significant impediments. To enhance the flexibility of cooling systems, coordinated efforts are necessary to address these barriers. Practical examples, training, and the standardization and digitalization of processes could facilitate the widespread implementation of flexible cooling systems.}, language = {en} } @article{MohdSchmidElger2025, author = {Mohd, Zubair Akhtar and Schmid, Maximilian and Elger, Gordon}, title = {AI-driven point cloud framework for predicting solder joint reliability using 3D FEA data}, volume = {15}, pages = {24340}, journal = {Scientific Reports}, publisher = {Springer Nature}, address = {London}, issn = {2045-2322}, doi = {https://doi.org/10.1038/s41598-025-06902-0}, year = {2025}, abstract = {Crack propagation in solder joints remains a major challenge impacting the thermo-mechanical reliability of electronic devices, underscoring the importance of optimizing package and solder pad designs. Traditional Finite Element Analysis (FEA) techniques for predicting solder joint lifespan often rely on manual post-processing to identify high-risk regions for plastic strain accumulation. However, this manual process can fail to detect complex and subtle failure mechanisms and purely based on averaging the creep strain and correlating it to lifetime values collected from experiments using Coffin Manson equation. To address these limitations, this study presents an Artificial Intelligence (AI) framework designed for automated 3D FEA post-processing of surface-mounted devices (SMDs) assembled to Printed Circuit Board (PCB). This framework integrates 3D Convolutional Neural Networks (CNNs) and PointNet architectures to automatically extract complex spatial features from 3D FEA data. These learned features are then linked to experimentally measured solder joint lifetimes through fully connected neural network layers, allowing the model to capture complex and nonlinear failure behaviours. The research specifically targets crack development in solder joints of ceramic-based high-power LED packages used in automotive lighting systems. This dataset included variations in two-pad and three-pad configurations, as well as thin and thick film metallized ceramic substrates. Results from the study demonstrate that the PointNet model outperforms the 3D CNN, achieving a high correlation with experimental data (R2 = 99.91\%). This AI-driven, automated feature extraction approach significantly improves the accuracy and provide the more reliable models for solder joint lifetime predictions, offering a substantial improvement over traditional method.}, language = {en} } @article{AzzamAydinEndischetal.2025, author = {Azzam, Mohamed and Aydin, Atakhan and Endisch, Christian and Sauer, Dirk Uwe and Lewerenz, Meinert}, title = {Float Current Analysis for Lithium-Ion Battery Aging: Insights into SEI Growth and Cathode Lithiation with EIS and ICP OES}, volume = {172}, pages = {070529}, journal = {Journal of The Electrochemical Society}, number = {7}, publisher = {IOP Publishing}, address = {Bristol}, issn = {1945-7111}, doi = {https://doi.org/10.1149/1945-7111/adef85}, year = {2025}, abstract = {This study investigates calendar-aging mechanisms in lithium-ion batteries, focusing on cathode lithiation due to decomposition of conductive salt and SEI growth, by correlating quantified float currents, capacity loss rates, and pulse resistances with changes in electrochemical impedance spectroscopy (EIS) spectra. Seven SamSung 25 R cells are aged at different float voltages with periodic EIS measurements at 30 °C. Using a pre-characterization cell, the internal processes via EIS are allocated across various states of charge and temperatures and GITT measurements are performed to derive scaling factors. GITT, float currents and capacity loss rate measurements at 30 °C enables the separation of SEI growth ISEI growth and cathode lithiation current ICL based on float current behavior across a temperature range of 5 °C to 50 °C. The distribution of relaxation times (DRT) method is employed to deconvolute overlapping electrochemical processes. EIS and DRT analyses showed significant changes in cathode charge transfer resistance and diffusion, confirming that cathode lithiation correlates substantially to elevated internal resistance at high cell voltages. The theory of ISEI growth and ICL is further supported using inductively coupled plasma atomic emission spectroscopy by quantifying elemental inventory changes and linking phosphorus release and lithium consumption to degradation mechanisms.}, language = {en} } @article{AfrajVaculinBoehmlaenderetal.2025, author = {Afraj, Shahabaz and Vaculin, Ondrej and B{\"o}hml{\"a}nder, Dennis and Hynč{\´i}k, Luděk}, title = {Vehicle crash simulation models for reinforcement learning driven crash-detection algorithm calibration}, volume = {12}, pages = {17}, journal = {Advanced Modeling and Simulation in Engineering Sciences}, number = {1}, publisher = {SpringerOpen}, address = {Berlin}, issn = {2213-7467}, doi = {https://doi.org/10.1186/s40323-025-00288-4}, year = {2025}, abstract = {The development of finite element vehicle models for crash simulations is a highly complex task. The main aim of these models is to simulate a variety of crash scenarios and assess all the safety systems for their respective performances. These vehicle models possess a substantial amount of data pertaining to the vehicle's geometry, structure, materials, etc., and are used to estimate a large set of system and component level characteristics using crash simulations. It is understood that even the most well-developed simulation models are prone to deviations in estimation when compared to real-world physical test results. This is generally due to our inability to model the chaos and uncertainties introduced in the real world. Such unavoidable deviations render the use of virtual simulations ineffective for the calibration process of the algorithms that activate the restraint systems in the event of a crash (crash-detection algorithm). In the scope of this research, authors hypothesize the possibility of accounting for such variations introduced in the real world by creating a feedback loop between real-world crash tests and crash simulations. To accomplish this, a Reinforcement Learning (RL) compatible virtual surrogate model is used, which is adapted from crash simulation models. Hence, a conceptual methodology is illustrated in this paper for developing an RL-compatible model that can be trained using the results of crash simulations and crash tests. As the calibration of the crash-detection algorithm is fundamentally dependent upon the crash pulses, the scope of the expected output is limited to advancing the ability to estimate crash pulses. Furthermore, the real-time implementation of the methodology is illustrated using an actual vehicle model.}, language = {en} } @article{GlaasPhamKuonathetal.2025, author = {Glaas, Saskia and Pham, Huong and Kuonath, Angela and Frey, Dieter}, title = {Thriving or Withdrawing: How Job Crafting and Disengagement Shape Responses to Daily Laissez-faire Leadership}, journal = {Journal of Business and Psychology}, publisher = {Springer}, address = {New York}, issn = {1573-353X}, doi = {https://doi.org/10.1007/s10869-025-10056-1}, year = {2025}, abstract = {Although laissez-faire leadership is common in organizations and has been linked to detrimental effects on employees, little is known about its daily effects and how employees cope with this type of behavior. Drawing on the job demands-resources model and using a daily diary design, we examine the daily effects of laissez-faire leadership depending on followers' coping styles, capturing both adaptive and maladaptive responses. Specifically, we argue that the negative effect of laissez-faire leadership on next-day performance via evening job satisfaction is mitigated on days that followers engage in job crafting, while it is amplified on days that followers engage in disengagement coping. We collected data twice a day over one working week in an experience sampling study with 127 employees (i.e., after work and before bedtime; 359 data points). Our findings revealed no direct effect of laissez-faire leadership. However, there was a positive indirect effect of laissez-faire leadership on next-day performance via evening job satisfaction on days when employees engaged in high levels of job crafting, supporting its hypothesized beneficial effect. Conversely, as hypothesized, a negative indirect effect was observed on days when disengagement coping was high. By identifying the mixed effects of laissez-faire leadership, this study offers a fresh perspective that challenges the dominant view of its uniformly negative consequences, revealing how its downstream effects vary within individuals depending on their daily coping strategies.}, language = {en} } @article{KochdumperAlthoff2020, author = {Kochdumper, Niklas and Althoff, Matthias}, title = {Sparse Polynomial Zonotopes: A Novel Set Representation for Reachability Analysis}, volume = {66}, journal = {IEEE Transactions on Automatic Control}, number = {9}, publisher = {IEEE}, address = {New York}, issn = {1558-2523}, doi = {https://doi.org/10.1109/TAC.2020.3024348}, pages = {4043 -- 4058}, year = {2020}, language = {en} } @article{KochdumperAlthoff2023, author = {Kochdumper, Niklas and Althoff, Matthias}, title = {Constrained polynomial zonotopes}, volume = {60}, journal = {Acta Informatica}, number = {3}, publisher = {Springer}, address = {Berlin}, issn = {1432-0525}, doi = {https://doi.org/10.1007/s00236-023-00437-5}, pages = {279 -- 316}, year = {2023}, abstract = {We introduce constrained polynomial zonotopes, a novel non-convex set representation that is closed under linear map, Minkowski sum, Cartesian product, convex hull, intersection, union, and quadratic as well as higher-order maps. We show that the computational complexity of the above-mentioned set operations for constrained polynomial zonotopes is at most polynomial in the representation size. The fact that constrained polynomial zonotopes are generalizations of zonotopes, polytopes, polynomial zonotopes, Taylor models, and ellipsoids further substantiates the relevance of this new set representation. In addition, the conversion from other set representations to constrained polynomial zonotopes is at most polynomial with respect to the dimension, and we present efficient methods for representation size reduction and for enclosing constrained polynomial zonotopes by simpler set representations.}, language = {en} } @article{KochdumperKrasowskiWangetal.2023, author = {Kochdumper, Niklas and Krasowski, Hanna and Wang, Xiao and Bak, Stanley and Althoff, Matthias}, title = {Provably Safe Reinforcement Learning via Action Projection Using Reachability Analysis and Polynomial Zonotopes}, volume = {2}, journal = {IEEE Open Journal of Control Systems}, publisher = {IEEE}, address = {New York}, issn = {2694-085X}, doi = {https://doi.org/10.1109/OJCSYS.2023.3256305}, pages = {79 -- 92}, year = {2023}, abstract = {While reinforcement learning produces very promising results for many applications, its main disadvantage is the lack of safety guarantees, which prevents its use in safety-critical systems. In this work, we address this issue by a safety shield for nonlinear continuous systems that solve reach-avoid tasks. Our safety shield prevents applying potentially unsafe actions from a reinforcement learning agent by projecting the proposed action to the closest safe action. This approach is called action projection and is implemented via mixed-integer optimization. The safety constraints for action projection are obtained by applying parameterized reachability analysis using polynomial zonotopes, which enables to accurately capture the nonlinear effects of the actions on the system. In contrast to other state-of-the-art approaches for action projection, our safety shield can efficiently handle input constraints and dynamic obstacles, eases incorporation of the spatial robot dimensions into the safety constraints, guarantees robust safety despite process noise and measurement errors, and is well suited for high-dimensional systems, as we demonstrate on several challenging benchmark systems.}, language = {en} } @article{KochdumperBak2024, author = {Kochdumper, Niklas and Bak, Stanley}, title = {Fully automated verification of linear time-invariant systems against signal temporal logic specifications via reachability analysis}, volume = {2024}, pages = {101491}, journal = {Nonlinear Analysis: Hybrid Systems}, number = {53}, publisher = {Elsevier}, address = {Amsterdam}, issn = {1751-570X}, doi = {https://doi.org/10.1016/j.nahs.2024.101491}, year = {2024}, language = {en} } @article{BaierDonhauserSchudereretal.2017, author = {Baier, Lukas and Donhauser, Toni and Schuderer, Peter and Franke, J{\"o}rg}, title = {Heuristical Solution for Scheduling Single Stage Parallel Machines Production of Calcium Silicate Masonry Units with Sequence-Dependent Changeover Times to Improve Energy Efficiency}, volume = {871}, journal = {Applied Mechanics and Materials}, publisher = {Trans Tech Publications}, address = {Baech}, issn = {1662-7482}, doi = {https://doi.org/10.4028/www.scientific.net/AMM.871.208}, pages = {208 -- 219}, year = {2017}, language = {en} } @article{VermaKoZerfosetal.2009, author = {Verma, Dinesh and Ko, Bong Jun and Zerfos, Petros and Lee, Kang-Won and He, Ting and Duggan, Matthew and Stewart, Kristian and Swami, Ananthram and Sofra, Nikoletta}, title = {Understanding the Quality of Monitoring for Network Management}, volume = {53}, journal = {The Computer Journal}, number = {5}, publisher = {Oxford University Press}, address = {Oxford}, issn = {0010-4620}, doi = {https://doi.org/10.1093/comjnl/bxp058}, pages = {541 -- 550}, year = {2009}, language = {en} } @article{YuKiranEhrensbergeretal.2025, author = {Yu, Qing and Kiran, Iqra and Ehrensberger, Moritz and Streck, Luiza and Roth, Thomas and Jossen, Andreas and Endisch, Christian and Lewerenz, Meinert}, title = {Assigning Calendar Aging during Open Circuit and Float Current Analysis to Anode and Cathode Aging Using Three-Electrode Cells}, volume = {172}, pages = {060523}, journal = {Journal of the Electrochemical Society}, number = {6}, publisher = {IOP Publishing}, address = {Bristol}, issn = {1945-7111}, doi = {https://doi.org/10.1149/1945-7111/ade295}, year = {2025}, abstract = {Analyzing calendar aging by float current analysis, instead of solely repeating capacity tests, gains more insights into aging. However, the underlying mechanisms of the recharge current required to keep the voltage constant are not yet fully understood. Therefore, this study performs float current and additional open circuit voltage (OCV) tests on 3-electrode cells for four different voltages at 30 °C. By monitoring the potentials of the anode and the cathode over time individually, the aging rate on both electrodes and the present capacity can be calculated based on adjusting the electrode-specific OCV curves according to the voltage slippery theory. The electrode-specific aging and the capacity prediction show high agreement among both methods and the capacity tests at the end of the experiment. As a result, the capacity loss appears linear-like and is associated with the loss of active lithium mainly due to SEI formation on the anode. Additionally, a significant cathode voltage decay is observed especially for higher cell voltage. According to the literature, this is associated with cathode lithiation where the conductive salt is decomposed by inserting active lithium into the cathode masking SEI losses. Finally, OCV and float current analysis return comparable results and support present 2-electrode evaluation approaches.}, language = {en} } @article{SofraGkeliasLeung2011, author = {Sofra, Nikoletta and Gkelias, Athanasios and Leung, Kin}, title = {Route Construction for Long Lifetime in VANETs}, volume = {60}, journal = {IEEE Transactions on Vehicular Technology}, number = {7}, publisher = {IEEE}, address = {New York}, issn = {1939-9359}, doi = {https://doi.org/10.1109/TVT.2011.2161787}, pages = {3450 -- 3461}, year = {2011}, language = {en} }