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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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data science in engineering./ edited by Ramin Madarshahian, Francois Hemez.
其他題名:	proceedings of the 41st IMAC, a conference and exposition on structural dynamics 2023 /
其他作者:	Madarshahian, Ramin.
團體作者:	International Modal Analysis Conference
出版者:	Cham :Springer Nature Switzerland : : 2023.,
面頁冊數:	viii, 188 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Engineering - Data processing -
電子資源:	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

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