Data Science in Engineering, Volume 9
Author | : Ramin Madarshahian |
Publisher | : Springer Nature |
Total Pages | : 158 |
Release | : 2022-07-04 |
ISBN-10 | : 9783031041228 |
ISBN-13 | : 3031041224 |
Rating | : 4/5 (224 Downloads) |
Download or read book Data Science in Engineering, Volume 9 written by Ramin Madarshahian and published by Springer Nature. This book was released on 2022-07-04 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Science in Engineering, Volume 9: Proceedings of the 40th IMAC, A Conference and Exposition on Structural Dynamics, 2022, the nineth volume of nine 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