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Hyperdimensional Computing for Lightweight Modal-Based Damage Classification in Concrete Structures

Structural Health Monitoring (SHM) systems increasingly require efficient and scalable methods for identifying structural damage under dynamic loading. Traditional learning-based SHM models often rely on high-dimensional features or deep architectures, which may be computationally intensive and diff...

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Principais autores: Xiao-Ling Lin, Stefano Mariani
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-11-01
Serier:Engineering Proceedings
Fag:
structural health monitoring (SHM)
hyperdimensional computing (HDC)
impact-induced damage
modal frequency
lightweight classification
concrete-filled steel tube
Online adgang:https://www.mdpi.com/2673-4591/118/1/47
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