Data Science in Engineering, Vol. 11: Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics 2025
Editat de Thomas Matarazzo, François Hemez, Eleonora Maria Tronci, Austin Downeyen Limba Engleză Hardback – 22 ian 2026
- Novel Data-Driven Analysis Methods
- AI-Driven Digital Twins for Structural Modeling and Dynamic Characterization
- Transfer Learning and Population Based Monitoring
- Data-Driven Techniques for System Prognostics and Health Monitoring
- Applications of AI in Structural Dynamics and System Identification
- Uncertainty Quantification in Data-Driven and Hybrid Models
- Advanced Techniques for Real-Time Monitoring and Predictive Analysis
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Specificații
ISBN-13: 9788743801566
ISBN-10: 8743801560
Pagini: 54
Ilustrații: 70
Dimensiuni: 210 x 280 mm
Ediția:1
Editura: River Publishers
Colecția River Publishers
ISBN-10: 8743801560
Pagini: 54
Ilustrații: 70
Dimensiuni: 210 x 280 mm
Ediția:1
Editura: River Publishers
Colecția River Publishers
Public țintă
AcademicNotă biografică
Thomas Matarazzo, François Hemez, Eleonora Maria Tronci, Austin Downey
Cuprins
1. Data-Driven Method for Reduced Order Modeling of Blisks with Large and Small Mistuning 2. System Identification of Data from Rotating Machinery Using Deep Learning Network Training 3. Towards PEAR: a Benchmark Dataset for Population-based SHM 4. The Use of Machine Learning in Improved Hydrostatic Load Prediction for Inland Waterways Navigation Infrastructure 5. Experimental Analysis to Enable Low-Latency Structural Health Monitoring for Electronics in High-Rate Dynamic Environments 6. Fast-TDA Implementation for High Rate Dynamic Systems in Noisy Environment and Introduction to Chaotic System
Descriere
Data Science in Engineering, Volume 11: Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics, 2025, the eleventh volume of twelve from the Conference brings together contributions to this important area of research and engineering.