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Univ. -Prof. Dr. -Ing. Matthias Kreimeyer University of Stuttgart

Actuation Modes and Actuator Placement for Vibration Control of Adaptive Slabs with Integrated Fluidic Actuators, , , und . IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches, 121, Seite 1910–1918. International Association for Bridge and Structural Engineering (IABSE), (2025)

Matthias Bosch University of Stuttgart

Actuation Modes and Actuator Placement for Vibration Control of Adaptive Slabs with Integrated Fluidic Actuators, , , und . IABSE Symposium, Tokyo 2025: Environmentally Friendly Technologies and Structures: Focusing on Sustainable Approaches, 121, Seite 1910–1918. International Association for Bridge and Structural Engineering (IABSE), (2025)
 

Weitere Publikationen von Autoren mit dem selben Namen

Finite Volume Neural Network : Modeling Subsurface Contaminant Transport, , , , , und . ICLR 2021 : Ninth International Conference on Learning Representations, Cornell University, (2021)A Distributed Neural Network Architecture for Robust Non-Linear Spatio-Temporal Prediction., , , , , und . CoRR, (2019)Inferring Boundary Conditions in Finite Volume Neural Networks, , , , , , und . International Conference on Artificial Neural Networks 2022, (2022)Physical Domain Reconstruction with Finite Volume Neural Networks, , , , , , und . 37 (1): 2204261 (2023)Infering Boundary Conditions in Finite Volume Neural Networks, , , , , , und . Artificial Neural Networks and Machine Learning : ICANN 2022, Volume 1 von Lecture Notes in Computer Science, Seite 538-549. Cham, Springer, (2022)Learning Groundwater Contaminant Diffusion-Sorption Processes With a Finite Volume Neural Network, , , , , und . Water resources research, 58 (12): e2022WR033149 (2022)Replication Data for: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network, , , , , und . Dataset, (2022)Related to: Praditia, T., Karlbauer, M., Otte, S., Oladyshkin, S., Butz, M.V., Nowak, W.: Learning Groundwater Contaminant Diffusion-Sorption Processes with a Finite Volume Neural Network. Earth and Space Science Open Archive (2022). doi: 10.1002/essoar.10511934.1.Composing Partial Differential Equations with Physics-Aware Neural Networks, , , , , und . Proceedings of the 39th International Conference on Machine Learning, 162, Seite 10773-10801. PMLR, (2022)