Publikationen des TMDT
- 2026
- Waubert-de-Puiseau, C., Ercan, F., Peters, J., Brune, M., Tercan, H., Prinz, C., Meisen, T., & Kuhlenkötter, B. (2026). "A literature review on deep reinforcement learning for machine scheduling problems" , Journal of Manufacturing Systems , 85 , 96—126.
- Voets, J., Tercan, H., Meisen, T., & Esen, C. (2026). "A Systematic Review and Taxonomy of Machine Learning Methods for Process Optimization and Control in Laser Welding" , Applied Sciences , 16 (3), 1568.
- Hahn, Y., Königsfeld, A., Tercan, H., & Meisen, T. (2026). EXCODER: EXplainable Classification Of DiscretE time series Representations.
- Busch, D., Bohn, C., Kurbiel, T., Friedrichs, K., Meyes, R., & Meisen, T. (2026). Faster Training, Fewer Labels: Self-Supervised Pretraining for Fine-Grained BEV Segmentation.
- Weiss, M., Mrzljak, K., Schmid, M., Erbach, G., Brierley, N., & Meisen, T. (2026). "Material-resolving computed tomography of lithium-ion batteries using deep learning" , NDT & E International , 158 , 103565.
- Hadwiger, S., Kube, D., & Meisen, T. (2026). "Partial observability in vision-based forklift navigation with compressed visual information" , International Journal of Intelligent Robotics and Applications .
- 2025
- Yadav, H., Schaefer, M., Zhao, K., & Meisen, T. (2025, Apr.). "LMFormer: Lane based Motion Prediction Transformer" in Proceedings of the Computer Vision and Pattern Recognition Conference , IEEE 2435—2444.
- Saini, L., Meuter, M., Tercan, H., & Meisen, T. (2025, Apr.). "AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection" in Proceedings of the Computer Vision and Pattern Recognition Conference , IEEE 2415—2424.
- Peters, J., Waubert-de-Puiseau, C., Tercan, H., Gopikrishnan, A., Carvalho, G. A. L., Bitter, C., & Meisen, T. (2025). A Survey on Emergent Language.
- Araujo, J. B., Nolte, A., Berg, H., Dittrich, M., Greiff, K., Plociennik, C., Pomp, A., & Viere, T. (2025). "A Typology for Circular Economy Data" , Journal of Circular Economy (JoCE) , 3 (1),
- Königsfeld, A., Bergmann, D., Wunn, A., Tybussek, K., Karbasi, M., Heim, M., Tercan, H., & Meisen, T. (2025). "AI-driven Configuration for Filling Systems using Generative Adversarial Networks" , Procedia CIRP , 134 , 921—926.
- Waubert-de-Puiseau, C., Wolz, F., Montag, M., Peters, J., Tercan, H., Meisen, T., & Puiseau, C. (2025). "Applying Decision Transformers to Enhance Neural Local Search on the Job Shop Scheduling Problem" , AI , 6 (3), 48.
- Stillger, F., Hasecke, F., Hahn, L., & Meisen, T. (2025). "Beyond Labels: Self-Attention-Driven Semantic Separation Using Principal Component Clustering in Latent Diffusion Models" in Proceedings of the 20th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications , SCITEPRESS - Science and Technology Publications 68—80.
ISBN: 978-989-758-728-3
- Kube, D., Hadwiger, S., & Meisen, T. (2025). "Beyond performance: Explaining generalisation failures of Robotic Foundation Models in industrial simulation" , Biomimetic Intelligence and Robotics , 5 (4), 100249.
- Yadav, H., Schaefer, M., Zhao, K., & Meisen, T. (2025). CASPFormer: Trajectory Prediction from BEV Images with Deformable Attention.