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Advanced hybrid machine learning models for estimating chloride penetration resistance of concrete structures for durability assessment: optimization and hyperparameter tuning Cover

Advanced hybrid machine learning models for estimating chloride penetration resistance of concrete structures for durability assessment: optimization and hyperparameter tuning

REVIEWS ON ADVANCED MATERIALS SCIENCE
Volume 64 (2025): Issue 1 (January 2025)
By: Irfan Ullah,  Muhammad Faisal Javed,  Deema Mohammed Alsekait,  Mohammed Jameel,  Hisham Alabduljabbar,  Khawaja Atif Naseem and  Diaa Salama AbdElminaam  
Open Access
|Dec 2025
DOI: https://doi.org/10.1515/rams-2025-0186 | Journal eISSN: 1605-8127
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Language: English
Submitted on: Apr 9, 2025
Accepted on: Nov 18, 2025
Published on: Dec 17, 2025
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Keywords:
hybrid machine learning,
concrete durability,
chloride resistance
Related subjects:
Chemistry,
Chemistry, other,
Engineering,
Introductions and overviews,
Engineering, other,
Materials sciences,
Porous materials,
Physics,
Physics, other

© 2025 Irfan Ullah, Muhammad Faisal Javed, Deema Mohammed Alsekait, Mohammed Jameel, Hisham Alabduljabbar, Khawaja Atif Naseem, Diaa Salama AbdElminaam, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 License.

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