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.
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Ramin Madarshahian, Company: Kount, an Equifax company, ID, USA; Francois Hemez, Lawrence Livermore National Laboratory, Livermore, CA, USA
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:
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Ramin Madarshahian, Company: Kount, an Equifax company, ID, USA  Francois Hemez, Lawrence Livermore National Laboratory, Livermore, CA, USAData Science in Engineering, Volume 9:  Proceedings of the 40th IMAC, Nº de ref. del artículo: 573463292
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Data Science in Engineering, Volume 9:Proceedings of the 40thIMAC,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 Prognostics 164 pp. Englisch. Nº de ref. del artículo: 9783031041211
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Buch. Condición: Neu. Data Science in Engineering, Volume 9 | Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics 2022 | Ramin Madarshahian (u. a.) | Buch | viii | Englisch | 2022 | Springer | EAN 9783031041211 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu Print on Demand. Nº de ref. del artículo: 121350281
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Hardcover. Condición: new. Hardcover. 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 Prognostics 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783031041211
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Buch. Condición: Neu. 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. Nº de ref. del artículo: 9783031041211
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