{"product_id":"9788743801573","title":"PRE-ORDER NOW Structural Health Monitoring \u0026 Machine Learning, Vol. 12 : Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics 2025 by Antonio De Luca","description":"\u003cp\u003e \u003cstrong\u003e PRE-ORDER NOW - Published: 22\/01\/2026 \u003c\/strong\u003e\u003c\/p\u003eStructural Health Monitoring \u0026amp; Machine Learning, Volume 12: Proceedings of the 43rd IMAC, A Conference and Exposition on Structural Dynamics, 2025, the twelfth volume of twelve 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 the Structural Health Monitoring, including papers on:Bayesian Methods for Model InferenceHealth Monitoring using dynamic measurementsHealth Monitoring using Digital TwinningSHM using Machine LearningCase studies of SHM on real-world dynamic systemsOther Innovative SHM Methods \u003cbr\u003e  \u003cbr\u003eBinding: Hardback","brand":"Gardners","offers":[{"title":"Default Title","offer_id":56369532928373,"sku":"9788743801573","price":99.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/backstory.london\/products\/9788743801573","provider":"Backstory","version":"1.0","type":"link"}