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Springer Data Science in Engineering Vol. 10 - IMAC 2024 Proceedings

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Description

Data Science in Engineering, Volume 10 presents the proceedings from the 42nd IMAC Conference and Exposition on Structural Dynamics 2024, published by Springer as part of the Conference Proceedings of the Society for Experimental Mechanics Series. This collection brings together cutting-edge research and practical case studies on data-driven methods in engineering, featuring contributions on novel analysis techniques, deep learning applications, Gaussian process analysis, and real-time video-based monitoring. The volume covers fundamental and applied aspects of data science with particular focus on nonlinear dynamics, damage detection, and system prognostics. Essential reading for researchers, engineers, and practitioners working in structural dynamics, mechanical engineering, and data-driven analysis who need to stay current with the latest developments in this rapidly evolving field.

Key Features

Collects proceedings from the 42nd IMAC Conference on Structural Dynamics 2024, featuring contributions from leading researchers in the field.

Includes papers on novel data-driven analysis methods and deep learning approaches for engineering applications and structural assessment.

Covers Gaussian process analysis and real-time video-based analysis techniques for monitoring and diagnosis of complex systems.

Presents case studies on damage detection and nonlinear dynamics using contemporary data science methods.

Addresses data-driven system prognostics for predictive maintenance and reliability engineering in mechanical applications.

Published by Springer as Volume 10 in the Conference Proceedings of the Society for Experimental Mechanics Series, ensuring peer-reviewed quality.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
17 October 2024
Listed Since
01 July 2024

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