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Data science in engineering. = proce...

International Modal Analysis Conference (2023))

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Data science in engineering. = proceedings of the 41st IMAC, a conference and exposition on structural dynamics 2023 /. Volume 10

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data science in engineering./ edited by Ramin Madarshahian, Francois Hemez.
Reminder of title:	proceedings of the 41st IMAC, a conference and exposition on structural dynamics 2023 /
other author:	Madarshahian, Ramin.
corporate name:	International Modal Analysis Conference
Published:	Cham :Springer Nature Switzerland : : 2023.,
Description:	viii, 188 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Engineering - Data processing -
Online resource:	https://doi.org/10.1007/978-3-031-34946-1
ISBN:	9783031349461

Data science in engineering. = proceedings of the 41st IMAC, a conference and exposition on structural dynamics 2023 /. Volume 10
Data science in engineering.proceedings of the 41st IMAC, a conference and exposition on structural dynamics 2023 /Volume 10[electronic resource] :edited by Ramin Madarshahian, Francois Hemez. - Cham :Springer Nature Switzerland :2023. - viii, 188 p. :ill. (chiefly color), digital ;24 cm. - Conference proceedings of the Society for Experimental Mechanics series,2191-5652. - Conference proceedings of the Society for Experimental Mechanics series..

Data Science in Engineering, Volume 10: Proceedings of the 41st IMAC, A Conference and Exposition on Structural Dynamics, 2023, 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 High-rate Structural Monitoring and Prognostics.

ISBN: 9783031349461

Standard No.: 10.1007/978-3-031-34946-1doiSubjects--Topical Terms:

782530
Engineering
--Data processing

LC Class. No.: TA345 / .I58 2023

Dewey Class. No.: 620.00151

Data science in engineering. = proceedings of the 41st IMAC, a conference and exposition on structural dynamics 2023 /. Volume 10
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