@article{1447988,
      note = {International conference proceedings.},
      author = {Madarshahian, Ramin, and Hemez, Francois,},
      url = {http://library.usi.edu/record/1447988},
      title = {Data science in engineering. proceedings of the 40th IMAC,  a conference and exposition on structural dynamics 2022 /,  Volume 9 :. International Modal Analysis Conference},
      abstract = {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.},
      doi = {https://doi.org/10.1007/978-3-031-04122-8},
      recid = {1447988},
      pages = {1 online resource :},
}