Institute for Technologies and Management of Digital Transformation

Publikationen des TMDT



2024
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), 11.
Alves-Gomes, M. , Meyes, R. , Meisen, P. , & Meisen, T. (2024). "It's Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation" , Journal of Theoretical and Applied Electronic Commerce Research , 19 (1), 135--151.
Weiss, M. , Brierley, N. , Schmid, M. , & Meisen, T. (2024). "Simulation Study: Data-Driven Material Decomposition in Industrial X-ray Computed Tomography" , NDT , 2 (1), 1--15.
Langer, T. , Meyes, R. , & Meisen, T. (2024). "Guided Exploration of Industrial Sensor Data" , Computer Graphics Forum , 43 (1),
2023
Paulus, A. , Pomp, A. , & Meisen, T. (2023). "The PLASMA Framework: Laying the Path to Domain-Specific Semantics in Dataspaces" in Companion Proceedings of the ACM Web Conference 2023 , Ding, Ying and Tang, Jie and Sequeda, Juan and Aroyo, Lora and Castillo, Carlos and Houben, Geert-Jan, Eds. New York, NY, USA : ACM 1474--1479.

ISBN: 9781450394192

Bulow, F. , Wassermann, M. , & Meisen, T. (2023). "State of health forecasting of Lithium-ion batteries operated in a battery electric vehicle fleet" , Journal of Energy Storage , 72 , 108271.
Jansen, M. , Meisen, T. , Plociennik, C. , Berg, H. , Pomp, A. , & Windholz, W. (2023). "Stop Guessing in the Dark: Identified Requirements for Digital Product Passport Systems" , Systems , 11 (3), 123.
Alves-Gomes, M. , Wönkhaus, M. , Meisen, P. , & Meisen, T. (2023). "TEE: Real-Time Purchase Prediction Using Time Extended Embeddings for Representing Customer Behavior" , Journal of Theoretical and Applied Electronic Commerce Research , 18 (3), 1404--1418.
Müser, S. , Fleischer, J. , Kunina-Habenicht, O. , & Leutner, D. (2023). "The ESBW Short Scale: A test for assessing teachers' standards-based educational knowledge" , European Journal of Psychological Assessment .
Bulow, F. , Hahn, Y. , Meyes, R. , & Meisen, T. (2023). "Transparent and Interpretable State of Health Forecasting of Lithium-Ion Batteries with Deep Learning and Saliency Maps" , International Journal of Energy Research , 2023 , 1--23.
Hahn, Y. , Langer, T. , Meyes, R. , & Meisen, T. (2023). "Time Series Dataset Survey for Forecasting with Deep Learning" , Forecasting , 5 (1), 315--335.
Langer, T. , Pomp, A. , & Meisen, T. (2023). "Towards a Data Space for Interoperability of Analytic Provenance" in Companion Proceedings of the ACM Web Conference 2023 , Ding, Ying and Tang, Jie and Sequeda, Juan and Aroyo, Lora and Castillo, Carlos and Houben, Geert-Jan, Eds. New York, NY, USA : ACM 1502--1503.

ISBN: 9781450394192

Hadwiger, S. , Lavrik, V. , Liao, L. X. , & Meisen, T. (2023). "Simulation-to-Reality Transfer of a Two-Stage Deep Reinforcement Learning Controller for Autonomous Load Carrier Approaching" in 2023 IEEE International Conference on Autonomous Robot Systems and Competitions (ICARSC) , IEEE 232--238.
Pomp, A. , Burgdorf, A. , Paulus, A. , & Meisen, T. (2023). "Using IoT Technology for the Skilled Crafts" in Enterprise Information Systems , Cham : {Springer Nature Switzerland} , 48--63.

ISBN: 978-3-031-39385-3

Steiniger, Y. , Stoppe, J. , Kraus, D. , & Meisen, T. (2023). "Verbesserung der Klassifikationsperformance von Deep Learning Modellen durch Reduktion der Komplexität von Seitensichtsonarbildern" in DAGA 2023 - 49. Jahrestagung für Akustik . 892--895.

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