Enhancing bridge damage assessment: Adaptive cell and deep learning approaches in time-series analysis-Reference-Cited by-同舟云学术

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Enhancing bridge damage assessment: Adaptive cell and deep learning approaches in time-series analysis

Published:2024-08 Issue: Volume:439 Page:137240
ISSN:0950-0618
Container-title:Construction and Building Materials
language:en
Short-container-title:Construction and Building Materials

Author:

Bui-Tien Thanh^ORCID,Nguyen-Chi Thanh^ORCID,Le-Xuan Thang^ORCID,Tran-Ngoc Hoa^ORCID

Publisher

Elsevier BV

Reference36 articles.

1. A summary review of vibration-based damage identification methods;Doebling;Shock Vib. Dig.,1998

2. Analysis of launcher’s productivity in erection girder using time motion study method;Hadiyatmoko;Civ. Eng. J.,2023

3. Architectural model and modified long range wide area network (LoRaWAN) for boat traffic monitoring and transport detection systems in shallow waters;Saputra;Emerg. Sci. J.,2023

4. Damage assessment in structures using artificial neural network working and a hybrid stochastic optimization;Tran-Ngoc;Sci. Rep.,2022

5. A novel machine-learning based on the global search techniques using vectorized data for damage detection in structures;Tran-Ngoc;Int. J. Eng. Sci.,2020

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