Data Science in Engineering, Volume 11 : Proceedings of the 43rd IMAC, a Conference and Exposition on Structural Dynamics 2025

• Autore: Matarazzo Thomas
• Pubblicazione: Milton : , : River Publishers, , 2026; ©2026
• Edizione: 1st ed.
• Descrizione fisica: 1 online resource (55 pages)
• Disciplina: 620.104
• Soggetto topico: COMPUTERS / Data Science / General
• Altri autori: MatarazzoThomas HemezFrancois TronciEleonora Maria DowneyAustin
• Nota di contenuto: 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.
• Sommario/riassunto: 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.
• Titolo autorizzato: Data Science in Engineering, Volume 11
• ISBN: 87-438-0743-7; 87-438-0731-3; 87-438-0767-4; 87-438-0168-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9911070616803321
• Lo trovi qui: Univ. Federico II