Data Science in Engineering Vol. 10: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024 (Conference Proceedings of the Society for Experimental Mechanics Series)

Data Science in Engineering Vol. 10:Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024 (Conference Proceedings of the Society for Experimental Mechanics Series)

Data Science in Engineering Vol. 10:Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics 2024 (Conference Proceedings of the Society for Experimental Mechanics Series)

by: Thomas Matarazzo (Editor), François Hemez (Editor), Eleonora Maria Tronci (Editor), Austin Downey (Editor)

Publisher: Springer

Edition: 2024th

Publication Date: 2024-10-17

Language: English

Print Length: 153 pages

ISBN-10: 303168141X

ISBN-13: 9783031681417

Book Description

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 MethodsDeep Learning Gaussian Process AnalysisReal-time Video-based AnalysisApplications to Nonlinear Dynamics and Damage DetectionData-driven System Prognostics

Editorial Reviews

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 MethodsDeep Learning Gaussian Process AnalysisReal-time Video-based AnalysisApplications to Nonlinear Dynamics and Damage DetectionData-driven System Prognostics

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