TY - CHAP A1 - Münsinger, Jakob A1 - Kerber, Florian T1 - 2D Image-Based Burr Classification for Abrasive Tool Selection in Sheet Metal Post-Processing T2 - Procedia CIRP KW - burr classification KW - automated tool selection KW - low cost visual inspection KW - agnostic segmentation KW - sheet metal finishing KW - deep learning Y1 - 2026 U6 - https://doi.org/10.1016/j.procir.2025.09.025 SN - 2212-8271 VL - 139 SP - 191 EP - 197 PB - Elsevier BV ER - TY - JOUR A1 - Bayat, Zeinab A1 - Dindar, Serdar A1 - Güldür Erkal, Burcu T1 - Deep Learning for Post-earthquake Road Blockage and Debris Detection in Resource-Limited Contexts JF - Journal of the Indian Society of Remote Sensing KW - post-disaster assessment KW - debris detection KW - satellite imagery KW - deep learning Y1 - 2025 U6 - https://doi.org/10.1007/s12524-025-02394-7 SN - 0255-660X IS - 29 PB - Springer Science and Business Media LLC ER - TY - JOUR A1 - Triantafyllopoulos, Andreas A1 - Schuller, Björn W. A1 - İymen, Gökçe A1 - Sezgin, Metin A1 - He, Xiangheng A1 - Yang, Zijiang A1 - Tzirakis, Panagiotis A1 - Liu, Shuo A1 - Mertes, Silvan A1 - André, Elisabeth A1 - Fu, Ruibo A1 - Tao, Jianhua ED - Popovic, Zoya T1 - An Overview of Affective Speech Synthesis and Conversion in the Deep Learning Era BT - Special Issue: Affective Computing JF - Proceedings of the IEEE KW - affective computing KW - deep learning KW - emotional voice conversion (EVC) KW - speech synthesis Y1 - 2023 UR - https://opus.bibliothek.uni-augsburg.de/opus4/frontdoor/deliver/index/docId/104403/file/104403.pdf U6 - https://doi.org/10.1109/jproc.2023.3250266 SN - 0018-9219 SN - 1558-2256 VL - 111 IS - 10 SP - 1355 EP - 1381 PB - Institute of Electrical and Electronics Engineers (IEEE) CY - Piscataway, New Jersey ER - TY - JOUR A1 - Sellner, Jan A1 - Studier-Fischer, Alexander A1 - Bin Qasim, Ahmad A1 - Seidlitz, Silvia A1 - Schreck, Nicholas A1 - Tizabi, Minu A1 - Wiesenfarth, Manuel A1 - Kopp-Schneider, Annette A1 - Heinecke, Janne A1 - Brandt, Jule A1 - Knödler, Samuel A1 - Haney, Caelan Max A1 - Salg, Gabriel A1 - Özdemir, Berkin A1 - Dietrich, Maximilian A1 - Michel, Maurice Stephan A1 - Nickel, Felix A1 - Kowalewski, Karl-Friedrich A1 - Maier-Hein, Lena T1 - Xeno-Learning: Knowledge Transfer Across Species in Deep Learning-Based Spectral Image Analysis KW - hyperspectral imaging KW - surgical scene segmentation KW - tissue classification KW - domain generalization KW - deep learning KW - hyperspectral imaging; surgical scene segmentation; tissue classification; domain generalization; Y1 - 2024 U6 - https://doi.org/10.48550/arXiv.2410.19789 ER - TY - INPR A1 - Lengerer, Daniel A1 - Pechinger, Mathias A1 - Bogenberger, Klaus A1 - Markgraf, Carsten T1 - AID4AD: Aerial Image Data for Automated Driving Perception KW - automated driving KW - trajectory prediction KW - machine learning KW - deep learning KW - aerial image data Y1 - 2025 U6 - https://doi.org/10.48550/arXiv.2508.02140 N1 - This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. PB - arxiv.org ER - TY - JOUR A1 - Schellenberg, Melanie A1 - Dreher, Kris K. A1 - Holzwarth, Niklas A1 - Isensee, Fabian A1 - Reinke, Annika A1 - Schreck, Nicholas A1 - Seitel, Alexander A1 - Tiziabi, Minu D. A1 - Maier-Hein, Lena A1 - Gröhl, Janek T1 - Semantic Segmentation of Multispectral Photoacoustic Images Using Deep Learning JF - Photoacoustics KW - medical image segmentation KW - deep learning KW - multispectral imaging KW - photoacoustics KW - optoacoustics Y1 - 2022 U6 - https://doi.org/10.1016/j.pacs.2022.100341 SN - 2213-5979 VL - 26 IS - 2022,June PB - Elsevier ER - TY - CHAP A1 - Neumeier, Marion A1 - Dorn, Sebastian A1 - Botsch, Michael A1 - Utschick, Wolfgang T1 - Prediction and Interpretation of Vehicle Trajectories in the Graph Spectral Domain T2 - 2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC) KW - deep learning KW - filtering KW - statistical learning KW - trajectory KW - spatiotemporal phenomena Y1 - 2023 SN - 979-8-3503-9946-2 U6 - https://doi.org/10.1109/ITSC57777.2023.10422530 SN - 2153-0017 SP - 1172 EP - 1179 ER - TY - CHAP A1 - Seitz, Sebastian A1 - Barm, Sabrina A1 - Baeten, André A1 - Baeten, Somayeh ED - International Society of Offshore and Polar Engineers (ISOPE), T1 - A Machine Learning Approach for the Temperature Control of a Cryogenic Hydrogen Cooling System T2 - Proceedings of the Fifteenth ISOPE Pacific-Asia Offshore Mechanics Symposium (PACOMS) KW - artificial intelligence KW - machine learning KW - hydrogen KW - deep learning KW - axial flux motor KW - fluid flow Y1 - 2024 UR - https://onepetro.org/ISOPEPACOMS/proceedings-abstract/PACOMS24/PACOMS24/ISOPE-P-24-103/613801 SN - 978-1-880653-76-0 SN - 1946-004X PB - ISOPE CY - Cupertino ER - TY - CHAP A1 - Bayraktar, Merve A1 - Bacik, Yunus A1 - Aldemir, Alper A1 - Güldür Erkal, Burcu ED - Erberik, Murat Altug ED - Askan, Aysegul ED - Kockar, Mustafa Kerem T1 - A Curation of Image Datasets for Urban Segmentation Applications T2 - Proceedings of the 7th International Conference on Earthquake Engineering and Seismology (Vol. 2) KW - deep learning KW - urban image datasets KW - image segmentation Y1 - 2024 SN - 978-3-031-57357-6 U6 - https://doi.org/10.1007/978-3-031-57357-6_43 IS - (Lecture Notes in Civil Engineering;401) SP - 509 EP - 521 PB - Springer CY - Cham ER - TY - CHAP A1 - Wucherer, Stefanie A1 - McMurray, Robert A1 - Ng, Kok Yew A1 - Kerber, Florian T1 - Predicting Maximum Permitted Process Forces for Object Grasping and Manipulation Using a Deep Learning Regression Model T2 - 2024 IEEE Conference on Control Technology and Applications (CCTA) KW - training KW - deep learning KW - force measurement KW - accuracy KW - torque KW - force KW - transforms Y1 - 2024 SN - 979-8-3503-7094-2 U6 - https://doi.org/10.1109/CCTA60707.2024.10666569 SN - 2768-0770 SP - 669 EP - 674 ER - TY - JOUR A1 - Kratsch, Wolfgang A1 - Manderscheid, Jonas A1 - Röglinger, Maximilian A1 - Seyfried, Johannes T1 - Machine Learning in Business Process Monitoring: A Comparison of Deep Learning and Classical Approaches Used for Outcome Prediction JF - Business & information systems engineering KW - predictive process monitoring KW - business process management KW - outcome prediction KW - deep learning KW - machine learning Y1 - 2020 U6 - https://doi.org/10.1007/s12599-020-00645-0 SN - 1867-0202 VL - 63 IS - 2021,3 SP - 261 EP - 276 ER - TY - CHAP A1 - Mess, Elisabeth Veronica A1 - Rockstein, Dennis A1 - Märtin, Christian ED - Kurosu, Masaaki T1 - FaceForward – An AI-Based Interactive System for Exploring the Personal Potential T2 - Human-Computer Interaction. Human Values and Quality of Life KW - human perception KW - authentic personality KW - body language KW - personality psychology KW - face reading KW - face detection KW - artificial intelligence KW - neural networks KW - deep learning Y1 - 2020 SN - 978-3-030-49064-5 U6 - https://doi.org/10.1007/978-3-030-49065-2_7 SP - 86 EP - 102 PB - Springer CY - Cham ER - TY - CHAP A1 - Kipp, Michael ED - Kovács, László T1 - Maschinen mit künstlichen Gehirnen - Was ist Deep Learning? T2 - Künstliche Intelligenz und menschliche Gesellschaft KW - deep learning KW - künstliche Intelligenz Y1 - 2023 SN - 978-3-11-103449-2 U6 - https://doi.org/10.1515/9783111034706-003 N1 - Sammelband zur KI-Ringvorlesung 2022 an der Hochschule Augsburg SP - 25 EP - 40 PB - De Gruyter Oldenbourg CY - Berlin; München; Boston ER - TY - JOUR A1 - Oğuz, Faruk Enes A1 - Alkan, Ahmet A1 - Schöler, Thorsten T1 - Emotion Detection from ECG Signals with Different Learning Algorithms and Automated Feature Engineering JF - Signal, Image and Video Processing KW - emotion detection KW - machine learning KW - deep learning KW - ECG KW - BiLSTM Y1 - 2023 U6 - https://doi.org/10.1007/s11760-023-02606-y SN - 1863-1711 ER -