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Data Science in Engineering Vol. 10


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

von: Thomas Matarazzo, François Hemez, Eleonora Maria Tronci, Austin Downey

CHF 189.00

Verlag: Springer
Format: PDF
Veröffentl.: 17.11.2024
ISBN/EAN: 9783031681424
Sprache: englisch
Anzahl Seiten: 165

Dieses eBook enthält ein Wasserzeichen.

Beschreibungen

<p><em>Data Science in Engineering, Volume 10: Proceedings of the 42</em><em>nd</em><em> IMAC,</em> <em>A Conference and Exposition on Structural Dynamics, 2024, </em>the tenth volume of ten from the Conference brings together contributions to this important area of research and engineering.&nbsp; The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on:</p>

<ul>
<li>Novel Data-driven Analysis Methods</li>
<li>Deep Learning Gaussian Process Analysis</li>
<li>Real-time Video-based Analysis</li>
<li>Applications to Nonlinear Dynamics and Damage Detection</li>
<li>Data-driven System Prognostics</li>
</ul>
<p><em>Data Science in Engineering, Volume 10: Proceedings of the 42</em><em>nd</em><em> IMAC,</em> <em>A Conference and Exposition on Structural Dynamics, 2024, </em>the tenth volume of ten from the Conference brings together contributions to this important area of research and engineering.&nbsp; The collection presents early findings and case studies on fundamental and applied aspects of Data Science in Engineering, including papers on:</p>

<ul>
<li>Novel Data-driven Analysis Methods</li>
<li>Deep Learning Gaussian Process Analysis</li>
<li>Real-time Video-based Analysis</li>
<li>Applications to Nonlinear Dynamics and Damage Detection</li>
<li>Data-driven System Prognostics</li>
</ul>