Publikationen des TMDT
- 2024
- Brune, M., Meisen, T., & Pomp, A. (2024). "Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization" , Applied Sciences , 14 (6), 2267.
- Busch, D., Freeman, I., Meyes, R., & Meisen, T. (2024). Improved Single Camera BEV Perception Using Multi-Camera Training.
- Alves Gomes, M., Meisen, P., & Meisen, T. (2024). Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings.
- Hadwiger, S., Kube, D., Lavrik, V., & Meisen, T. (2024). "Towards Precision in Motion: Investigating the Influences of Curriculum Learning based on a Multi-Purpose Performance Metric for Vision-Based Forklift Navigation" in 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE) , IEEE 796—803.
ISBN: 979-8-3503-5851-3
- Hahn, Y., Maack, R. F., Buchholz, G., Purrio, M., Angerhausen, M., Tercan, H., & Meisen, T. (2024). "Quality Prediction in Arc Welding: Leveraging Transformer Models and Discrete Representations from Vector Quantised—VAE" in CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management , Serra, Edoardo and Spezzano, Francesca, Eds. New York, United States : Association for Computing Machinery
ISBN: 979-8-4007-0436-9
- Hahn, Y., Kienitz, P., Wönkhaus, M., Meyes, R., & Meisen, T. (2024). "Towards Accurate Flood Predictions: A Deep Learning Approach Using Wupper River Data" , Water , 16 (23),
- Paulus, A., Hölken, F., Chmielewski, S., & Pomp, A. (2024). "IoT4H: Datengewinnung und -nutzung für innovative Geschäftsmodelle im Handwerk" , HMD Praxis der Wirtschaftsinformatik , 61 (6), 1540—1550.
- Hoseini, S., Burgdorf, A., Paulus, A., Meisen, T., Quix, C., & Pomp, A. (2024). "Towards LLM-augmented Creation of Semantic Models for Dataspaces" in The Second International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference .
- Hütten, N., Alves Gomes, M., Hölken, F., Andricevic, K., Meyes, R., & Meisen, T. (2024). "Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers" , Applied System Innovation , 7 (1),
- Jäkel, J., Zoghian, P. M., & Klemt-Albert, K. (2024). "Anwendungsfelder und Implementierungsmodelle von Robotik im Bauwesen" in Künstliche Intelligenz im Bauwesen , 395—412.
ISBN: 978-3-658-42795-5
- Jantunen, M., Meyes, R., Kurchyna, V., Meisen, T., Abrahamsson, P., & Mohanani, R. (2024). "Researchers' Concerns on Artificial Intelligence Ethics: Results from a Scenario-Based Survey" in Proceedings of the 7th ACM/IEEE International Workshop on Software-intensive Business , New York, NY, USA : ACM 24—31.
ISBN: 9798400705717
- Langer, T., Meyes, R., & Meisen, T. (2024). "Guided Exploration of Industrial Sensor Data" , Computer Graphics Forum , 43 (1),
- Busch, D., Freeman, I., Meyes, R., & Meisen, T. (2024). "Improved Single Camera BEV Perception Using Multi-Camera Training" in 2024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC) , IEEE 3982—3988.
ISBN: 979-8-3315-0592-9
- Müller, N., Reermann, J., & Meisen, T. (2024). "Navigating the Depths: A Comprehensive Survey of Deep Learning for Passive Underwater Acoustic Target Recognition" , IEEE Access , 12 , 154092—154118.
- Angos-Mediavilla, M., Gorenzweig, M., Pahnke, G., Pomp, A., Freund, M., & Meisen, T. (2024). "Advancing Industry 4.0: Integrating Data Governance into Asset Administration Shell for Enhanced Interoperability" in Proceedings of the 26th International Conference on Enterprise Information Systems , SCITEPRESS - Science and Technology Publications 128—140.
ISBN: 978-989-758-692-7