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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Moutaman M. Abbas

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Oct 2026

Modeling the concrete carbonation depth using a physics-guided CatBoost algorithm

This study aims to develop a physics-informed machine learning framework to improve carbonation depth prediction in reinforced concrete by integrating mechanistic knowledge with data-driven learning. A CatBoost model incorporating ten physics-guided features was trained on a data set expanded to twice the or...

Moutaman M. Abbas, A. Bărbulescu · 0 citations
Open access Jul 2026

Physics-Guided Feature Engineering and Synthetic Data Augmentation for Machine Learning Prediction of Chloride Diffusion in Concrete

A physics-guided machine learning framework that integrates domain-informed feature engineering, conditional synthetic data augmentation, and stacking ensemble learning to predict the chloride diffusion coefficient of concrete from Rapid Chloride Migration (RCM) test data is presented.

Moutaman M. Abbas · 0 citations

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