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BMS Forecasting of Bridge Health Condition Degradation Using AI Machine Learning Cover

BMS Forecasting of Bridge Health Condition Degradation Using AI Machine Learning

Civil and Environmental Engineering
Volume 21 (2025): Issue 1 (June 2025)
By: Mohamed G. Elbaroty,  Mohamed A. Zaki and  Sherif A. Mourad  
Open Access
|Apr 2025

Authors

Mohamed G. Elbaroty

Structures and Metallic Construction Dept, Egyptian Housing and Building National Research Centre, HBRC Institute, Cairo, Egypt

Mohamed A. Zaki

Structures and Metallic Construction Dept, Egyptian Housing and Building National Research Centre, HBRC Institute, Cairo, Egypt

Sherif A. Mourad

eng.mohamedbaroty@yahoo.com

Structural Engineering Dept., Faculty of Engineering, Cairo University, Egypt
DOI: https://doi.org/10.2478/cee-2025-0019 | Journal eISSN: 2199-6512 | Journal ISSN: 1336-5835
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Language: English
Page range: 246 - 253
Published on: Apr 16, 2025
Published by: University of Žilina
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Degradation,
Bridge Health Index XGBoost,
Machine Learning,
Artificial Intelligence,
BMS,
Bridge Management System
Related subjects:
Business and economics,
Political economics,
Economic theory, systems and structures,
Business management,
Industries,
Environmental management

© 2025 Mohamed G. Elbaroty, Mohamed A. Zaki, Sherif A. Mourad, published by University of Žilina
This work is licensed under the Creative Commons Attribution 4.0 License.

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