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Data Science in Engineering Vol. 10
Details
Data Science in Engineering, Volume 10: Proceedings of the 42 nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, 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
Data-driven System Prognostics
Klappentext
Data Science in Engineering, Volume 10: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, 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 Data-driven System Prognostics
Weitere Informationen
- Allgemeine Informationen
- GTIN 09783031681417
- Genre Information Technology
- Editor Thomas Matarazzo, Austin Downey, Eleonora Maria Tronci, François Hemez
- Lesemotiv Verstehen
- Anzahl Seiten 156
- Größe H285mm x B215mm x T15mm
- Jahr 2024
- EAN 9783031681417
- Format Fester Einband
- ISBN 303168141X
- Veröffentlichung 17.10.2024
- Titel Data Science in Engineering Vol. 10
- Untertitel Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024
- Gewicht 649g
- Herausgeber Springer Nature Switzerland
- Sprache Englisch