Application of Hybrid Soft Computing for Classification of Reinforced Concrete Bridge Structural Health Based on Thermal-Vibration Intelligent System Parameters

Author:

Concepcion Ronnie S.,Ilagan Lorena C.

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Concrete and steel bridge Structural Health Monitoring—Insight into choices for machine learning applications;Construction and Building Materials;2023-10

2. Kaiser and Cumulative Proportion Principal Component Analysis for Temperature Compensation of Vibration in Reinforced Concrete Bridge;2022 IEEE 14th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2022-12-01

3. A Novel IoT-based Edge Sensing Platform for Structure Health Monitoring;IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS);2022-05-02

4. An Automated Machine Learning-Based Approach for Structural Novelty Detection Based on SHM;Lecture Notes in Civil Engineering;2021-12-12

5. Structural Health Fuzzy Classification of Bridge based on Subjective and Objective Inspections;2020 IEEE 12th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment, and Management (HNICEM);2020-12-03

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