semantic_scholarResults in EngineeringCited by 0

Strength-class-specific correction ratios for concrete core testing: Dual-branch machine learning and SHAP interpretability

Mahyar Arabani, R. Madandoust, Morteza Safari, K. Momeni

View free PDFSource page

Related papers

semantic_scholarResults in Engineering

Accelerating compact UWB fractal antenna design using interpretable machine learning with forward and inverse prediction

Nayan Sarker, Sanjay Das, Kanad Basu, Ifana Mahbub

View free PDFSource page

crossrefResults in EngineeringCited by 1

Machine learning prediction and interpretability analysis of the association between digital transformation and enterprise performance: Based on the XGBoost-SHAP integrated framework

semantic_scholarResults in Engineering

Machine learning framework for predicting mechanical properties of fiber-reinforced recycled aggregate concrete with sustainability optimization

Zixu Zhou, M. A. Ismail

View free PDFSource page

crossrefResults in Engineering2026-07-01

AI-Driven Biomechanical Modeling for Knee Osteoarthritis Prediction: A Comprehensive Review of Finite Element and Machine Learning Approaches

Fatima Zahra Mekrane, Radouane Ouladsine, Abdelwahed Barkaoui, Raymond Ghandour

crossrefResults in Engineering2026-07-01

Hybrid AI Architectures for Solar–Wind–Battery Systems: Machine-Learning Control, Fuzzy Energy Management, Robust MPC, and Automated Source-Switching Hardware

Eyime Echeng Eyime, Samuel Chukwujindu Nwokolo, Fadhil Khadoum Alhousni, Edson L. Meyer, Chinedu Christian Ahia

crossrefResults in Engineering

Machine learning in membrane-based desalination and wastewater treatment: An AI-assisted bibliometric analysis

Azzam Abuhabib, Cao Yuan, Mohd Fadhil Bin Md Din, Ahmed Albahnasavi, Siti Nur Fatihah Binti Moideen, Chen Hong, et al.