Data Science in Engineering, Volume 9

Francois Hemez

ISBN 10: 3031041216 / ISBN 13: 9783031041211

Editore: Springer Nature Switzerland, Springer International Publishing Jul 2022, 2022

Riguardo questo articolo

Neuware -Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the nineth volume of nine 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 MethodsDeep Learning Gaussian Process AnalysisReal-time Video-based AnalysisApplications to Nonlinear Dynamics and Damage DetectionHigh-rate Structural Monitoring and PrognosticsSpringer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 164 pp. Englisch.

Codice articolo 9783031041211

Dati bibliografici

• Titolo: Data Science in Engineering, Volume 9
• Editore: Springer Nature Switzerland, Springer International Publishing Jul 2022
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 3031041216
• ISBN 13: 9783031041211
• Rilegatura: Buch
• Condizione: Neu

Descrizione articolo

Riassunto

Data Science in Engineering, Volume 9:  Proceedings of the 40^th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the nineth volume of nine 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

Informazioni sull?autore

Ramin Madarshahian, Company: Kount, an Equifax company, ID, USA;  Francois Hemez, Lawrence Livermore National Laboratory, Livermore, CA, USA