Data Science in Engineering Vol. 10

Data Science in Engineering Vol. 10

Autor: Thomas Matarazzo, Fran�s Hemez, Eleonora Maria Tronci, Austin Downey
Editorial: River Publishers
Edición: 1
Fecha de publicación: 2025
ISBN: 104060191X

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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.

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