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Data Science in Engineering, Volume 10
Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics 2023
Springer
ISBN 978-3-031-34948-5
Standardpreis
Bibliografische Daten
Fachbuch
Buch. Softcover
2025
1 s/w-Abbildung.
In englischer Sprache
Umfang: viii, 188 S.
Format (B x L): 21 x 27,9 cm
Verlag: Springer
ISBN: 978-3-031-34948-5
Produktbeschreibung
Data Science in Engineering, Volume 10: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, the tenth volume of ten from the Conference brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on:
- Novel Data-driven Analysis Methods
- Deep Learning Gaussian Process Analysis
- Real-time Video-based Analysis
- Applications to Nonlinear Dynamics and Damage Detection
- High-rate Structural Monitoring and Prognostics
- Novel Data-driven Analysis Methods
- Deep Learning Gaussian Process Analysis
- Real-time Video-based Analysis
- Applications to Nonlinear Dynamics and Damage Detection
- High-rate Structural Monitoring and Prognostics
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