@inproceedings{GajekSchiendorferReif2019, author = {Gajek, Carola and Schiendorfer, Alexander and Reif, Wolfgang}, title = {A chained neural network model for photovoltaic power forecast}, booktitle = {Machine Learning, Optimization, and Data Science: 5th International Conference, LOD 2019, Siena, Italy, September 10-13, 2019, Proceedings}, editor = {Nicosia, Giuseppe and Pardalos, Panos and Umeton, Renato and Giuffrida, Giovanni and Sciacca, Vincenzo}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-37598-0}, issn = {0302-9743}, doi = {https://doi.org/10.1007/978-3-030-37599-7_47}, pages = {566 -- 578}, year = {2019}, language = {en} } @inproceedings{StieberSchroeterSchiendorferetal.2021, author = {Stieber, Simon and Schr{\"o}ter, Niklas and Schiendorfer, Alexander and Hoffmann, Alwin and Reif, Wolfgang}, title = {FlowFrontNet: Improving Carbon Composite Manufacturing with CNNs}, booktitle = {Machine Learning and Knowledge Discovery in Databases, Applied Data Science Track, Proceedings, Part IV}, editor = {Dong, Yuxiao and Mladenić, Dunja and Saunders, Craig}, publisher = {Springer}, address = {Cham}, isbn = {978-3-030-67667-4}, doi = {https://doi.org/10.1007/978-3-030-67667-4_25}, pages = {411 -- 426}, year = {2021}, language = {en} } @article{StieberSchroeterFausteretal.2022, author = {Stieber, Simon and Schr{\"o}ter, Niklas and Fauster, Ewald and Bender, Marcel and Schiendorfer, Alexander and Reif, Wolfgang}, title = {Inferring material properties from FRP processes via sim-to-real learning}, volume = {128}, journal = {The International Journal of Advanced Manufacturing Technology}, number = {3-4}, publisher = {Springer}, address = {London}, issn = {1433-3015}, doi = {https://doi.org/10.1007/s00170-023-11509-8}, pages = {1517 -- 1533}, year = {2022}, abstract = {Fiber reinforced polymers (FRP) provide favorable properties such as weight-specific strength and stiffness that are central for certain industries, such as aerospace or automotive manufacturing. Liquid composite molding (LCM) is a family of often employed, inexpensive, out-of-autoclave manufacturing techniques. Among them, resin transfer molding (RTM), offers a high degree of automation. Herein, textile preforms are saturated by a fluid polymer matrix in a closed mold.Both impregnation quality and level of fiber volume content are of crucial importance for the final part quality. We propose to simultaneously learn three major textile properties (fiber volume content and permeability in X and Y direction) presented as a three-dimensional map based on a sequence of camera images acquired in flow experiments and compare CNNs, ConvLSTMs, and Transformers. Moreover, we show how simulation-to-real transfer learning can improve a digital twin in FRP manufacturing, compared to simulation-only models and models based on sparse real data. The overall best metrics are: IOU 0.5031 and Accuracy 95.929 \%, obtained by pretrained transformer models.}, language = {en} } @inproceedings{GajekSchiendorferReif2023, author = {Gajek, Carola and Schiendorfer, Alexander and Reif, Wolfgang}, title = {A Recommendation System for CAD Assembly Modeling based on Graph Neural Networks}, booktitle = {Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2022, Proceedings, Part I}, editor = {Amini, Massih-Reza and Canu, St{\´e}phane and Fischer, Asja and Guns, Tias and Kralj Novak, Petra and Tsoumakas, Grigorios}, publisher = {Springer}, address = {Cham}, isbn = {978-3-031-26387-3}, doi = {https://doi.org/10.1007/978-3-031-26387-3_28}, pages = {457 -- 473}, year = {2023}, language = {en} } @inproceedings{SchiendorferLassnerAndersetal.2015, author = {Schiendorfer, Alexander and Lassner, Christoph and Anders, Gerrit and Reif, Wolfgang and Lienhart, Rainer}, title = {Active Learning for Abstract Models of Collectives}, booktitle = {ARCS 2015 - 28th International Conference on Architecture of Computing Systems, Workshop Proceedings}, editor = {Cardoso, Jo{\~a}o M. P.}, publisher = {VDE Verlag}, address = {Berlin}, isbn = {978-3-8007-3657-7}, url = {https://www.vde-verlag.de/proceedings-de/563657010.html}, year = {2015}, language = {en} }