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Gatt, M.;Maeder, M.;Marburg, S.
Freiheit
Fortschritte der Akustik - DAGA : 46. Jahrestagung für Akustik
2020
Gatt, M.
A Contemporary philosophical Approach to Human Factors and Ethics in Education in Acoustics with a focus on Responsibiliy
International Congress of Sound and Vibration (ICSV)
ICSV
2021
Gatt, M.
Practical and Artificial Intelligence. Hannah Arendts Ethics in „Vita Activa and The Human Condition
Inter-Noise. Proceedings of the 50. International Congress and Exhibition on Noise Control Engineering
Inter-Noise
2021
Ebner, A.;Podszuweit, D.;Gatt, M.
Was haben Ingenieurswesen und Philosophie gemeinsam?
Fortschritte der Akustik - DAGA : 46. Jahrestagung für Akustik
2020
Tsokaktsidis, Dimitrios Ernst;Wysocki, Timo Von;Gauterin, Frank;Marburg, Steffen
Artificial Neural Network predicts noise transfer as a function of excitation and geometry
Proceedings of the ICA 2019 and EAA Euroregio : 23rd International Congress on Acoustics
2019
integrating 4th EAA Euroregio 2019 : 9-13 September 2019
9 Sep 2019-13 Sep 2019; Aachen (2019).
Chandra, S.;Saini, K.;Matsagar, V.;Marburg, S.
Reliability Assessment of Laminated Composite Plates under Impulsive Loads
Book of Abstracts - 5th National Conference on Reliability and Safety (NCRS-2022)
2022
Gurbuz, C.;Kronowetter, F.;Dietz, C.;Eser, M.;Schmid, J.M.;Marburg, S.
Generatives Design von akustischen Metamaterialien
Fortschritte der Akustik - DAGA 2022: 48. Jahrestagung für Akustik, 21.-24. März 2022 in Stuttgart
2022
Schmid, J. M.; Fernandez-Grande, E.; Hahmann, M.; Gürbüz, C.; Eser, M.;Marburg, S.
Sound Field Reconstruction using Bayesian Inference
Fortschritte der Akustik - DAGA 2022: 48. Jahrestagung für Akustik, 21.-24. März 2022 in Stuttgart
2022
Schmid, J. D.; Bauerschmidt, P.; Gurbuz, C.;Marburg, S.
Physics-Informed Neural Networks as Data-Driven Method in Computational Vibroacoustics
Fortschritte der Akustik - DAGA 2022: 48. Jahrestagung für Akustik, 21.-24. März 2022 in Stuttgart
2022
Schmid, J. D.; Hildenbrand, A.; Gurbuz, C., Luegmair, M.;Marburg, S.
Variational Autoencoders for Dimensionality Reduction of Automotive Vibroacoustic Models
SAE Technical Paper Series
SAE International
2022
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