Data Science in Engineering, Volume 9

Data Science in Engineering, Volume 9

  • Ramin Madarshahian
  • Francois Hemez
Publisher:Springer NatureISBN 13: 9783031041228ISBN 10: 3031041224

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Data Science in Engineering, Volume 9 is written by Ramin Madarshahian and published by Springer Nature. It's available with International Standard Book Number or ISBN identification 3031041224 (ISBN 10) and 9783031041228 (ISBN 13).

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