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Data Science in Engineering, Volume 11 : Proceedings of the 43rd IMAC, a Conference and Exposition on Structural Dynamics 2025.
- Format:
- Book
- Author/Creator:
- Matarazzo, Thomas.
- Language:
- English
- Physical Description:
- 1 online resource (55 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Milton : River Publishers, 2026.
- Summary:
- 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.
- Contents:
- 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.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 87-438-0743-7
- 87-438-0731-3
- 87-438-0767-4
- 87-438-0168-4
- 9788743807315
- OCLC:
- 1561172157
- Publisher Number:
- CIPO000319273
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