@article{1484718,
      author = {Madarshahian, Ramin, and Hemez, Francois,},
      url = {http://library.usi.edu/record/1484718},
      title = {Data science in engineering. proceedings of the 41st IMAC,  a Conference and Exposition on Structural Dynamics 2023 /,  Volume 10 :. International Modal Analysis Conference},
      abstract = {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.},
      doi = {https://doi.org/10.1007/978-3-031-34946-1},
      recid = {1484718},
      pages = {1 online resource (viii, 188 pages) :},
}