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Record Nr. |
UNINA9911070616803321 |
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Autore |
Matarazzo Thomas |
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Titolo |
Data Science in Engineering, Volume 11 : Proceedings of the 43rd IMAC, a Conference and Exposition on Structural Dynamics 2025 |
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Pubbl/distr/stampa |
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Milton : , : River Publishers, , 2026 |
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©2026 |
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ISBN |
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87-438-0743-7 |
87-438-0731-3 |
87-438-0767-4 |
87-438-0168-4 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (55 pages) |
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Altri autori (Persone) |
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MatarazzoThomas |
HemezFrancois |
TronciEleonora Maria |
DowneyAustin |
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Disciplina |
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Soggetti |
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COMPUTERS / Data Science / General |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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Sommario/riassunto |
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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. |
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