Data Science in Engineering, 2026

Proceedings of the 44th IMAC, A Conference and Exposition on Structural Dynamics 2026
1. Auflage 2026
ISBN: 978-87-438-1448-1
Verlag: River Publishers

Buch, Englisch, 126 Seiten, Format (B × H): 210 mm x 280 mm

Data Science in Engineering, Volume 9: Proceedings of the 44th IMAC, A Conference and Exposition on Structural Dynamics, 2026, the ninth 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

- 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

- Physics Informed Machine Learning for Dynamic Systems

Zielgruppe

Academic, Postgraduate, and Professional Practice & Development

Autoren/Hrsg.

Matarazzo, Thomas

Hemez, François

Tronci, Eleonora Maria

Downey, Austin

Fachgebiete

• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Automatische Datenerfassung, Datenanalyse

Inhaltsverzeichnis

Data Science in Engineering, 2026: Proceedings of the 44th IMAC, A Conference and Exposition on Structural Dynamics 2026

Über Autor(innen)

Thomas Matarazzo, François Hemez, Eleonora Maria Tronci, Austin Downey