TY  - GEN
N2  - 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.
DO  - 10.1007/978-3-031-34946-1
DO  - doi
AB  - 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.
T1  - Data science in engineering.proceedings of the 41st IMAC, a Conference and Exposition on Structural Dynamics 2023 /
AU  - Madarshahian, Ramin,
AU  - Hemez, Francois,
CN  - TA345
ID  - 1484718
KW  - Engineering
KW  - Structural engineering
KW  - Technique de la construction
SN  - 9783031349461
SN  - 3031349466
TI  - Data science in engineering.proceedings of the 41st IMAC, a Conference and Exposition on Structural Dynamics 2023 /
LK  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-34946-1
UR  - https://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-34946-1
ER  -