Open Journal of Civil Engineering

Open Journal of Civil Engineering

ISSN Print: 2164-3164
ISSN Online: 2164-3172
www.scirp.net/journal/ojce
E-mail: [email protected]
"Damage Detection Method Using Support Vector Machine and First Three Natural Frequencies for Shear Structures"
written by Hien HoThu, Akira Mita,
published by Open Journal of Civil Engineering, Vol.3 No.2, 2013
has been cited by the following article(s):
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[13] Review of Machine-Learning Techniques Applied to Structural Health Monitoring Systems for Building and Bridge Structures
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[16] Pemanfaatan Wsn (wireless Sensor Network) Untuk Menganalisa Lokasi Kerusakan Menggunakan Metode Berbasis Svm
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[18] Damage identification of bridge structures considering temperature variations-based SVM and MFO
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[19] Structural damage monitoring based on machine learning and bio-inspired computing
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[20] An End-to-End Framework With Multisource Monitoring Data for Bridge Health Anomaly Identification
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[21] Detection of structural damage using one-class support vector machine
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[22] Vibration-based SHM strategy for a real time alert system with damage location and quantification
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[23] A nonparametric unsupervised learning approach for structural damage detection
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[24] Research Progress on Structural Damage Identification in Civil Engineering
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[25] Bearing assessment tool for longitudinal bridge performance
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[26] A data‐driven framework for near real‐time and robust damage diagnosis of building structures
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[27] A damage classification approach for structural health monitoring using machine learning
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[29] Structural health monitoring using wireless sensor networks: A comprehensive survey
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[30] Modal identification of time-varying structures using the blind source separation techniques
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[31] Machine learning algorithms for damage detection: Kernel-based approaches
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