02451nam 22005053 450 991107061680332120251213060319.087-438-0743-787-438-0731-387-438-0767-487-438-0168-4(CKB)40890335300041(MiAaPQ)EBC32384663(Au-PeEL)EBL32384663(OCoLC)1561172157(EXLCZ)994089033530004120251213d2026 uy 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierData Science in Engineering, Volume 11 Proceedings of the 43rd IMAC, a Conference and Exposition on Structural Dynamics 20251st ed.Milton :River Publishers,2026.©2026.1 online resource (55 pages)87-438-0156-0 Cover -- Series Page -- Title Page -- Copyright Page -- Preface -- Table of Contents -- 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.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.COMPUTERS / Data Science / GeneralbisacshCOMPUTERS / Data Science / General620.104Matarazzo Thomas1898484Matarazzo Thomas1898484Hemez Francois1460542Tronci Eleonora Maria1898485Downey Austin1726332MiAaPQMiAaPQMiAaPQBOOK9911070616803321Data Science in Engineering, Volume 114556224UNINA