Data Science in Engineering Vol. 10
Editat de Thomas Matarazzo, François Hemez, Eleonora Maria Tronci, Austin Downeyen Limba Engleză Hardback – 17 oct 2024
- Novel Data-driven Analysis Methods
- Deep Learning Gaussian Process Analysis
- Real-time Video-based Analysis
- Applications to Nonlinear Dynamics and Damage Detection
- Data-driven System Prognostics
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Specificații
ISBN-13: 9783031681417
ISBN-10: 303168141X
Pagini: 156
Ilustrații: X, 160 p. 80 illus. in color.
Dimensiuni: 215 x 285 x 15 mm
Greutate: 0.65 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland
ISBN-10: 303168141X
Pagini: 156
Ilustrații: X, 160 p. 80 illus. in color.
Dimensiuni: 215 x 285 x 15 mm
Greutate: 0.65 kg
Ediția:2024
Editura: Springer
Locul publicării:Cham, Switzerland
Textul de pe ultima copertă
Data Science in Engineering, Volume 10: Proceedings of the 42nd IMAC, A Conference and Exposition on Structural Dynamics, 2024, 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
- Data-driven System Prognostics