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Irfan Ullah
Irfan Ullah
Master Student, Hohai University, Nanjing, China
Dirección de correo verificada de uetpeshawar.edu.pk
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Innovative hybrid machine learning models for estimating the compressive strength of copper mine tailings concrete
M Alyami, K Onyelowe, AH AlAteah, TS Alahmari, A Alsubeai, I Ullah, ...
Case Studies in Construction Materials 21, e03869, 2024
52024
Machine learning models for estimating the compressive strength of rubberized concrete subjected to elevated temperature: Optimization and hyper-tuning
TS Alahmari, I Ullah, F Farooq
Sustainable Chemistry and Pharmacy 42, 101763, 2024
32024
Predictive modeling for durability characteristics of blended cement concrete utilizing machine learning algorithms
B Fu, H Lei, I Ullah, M El-Meligy, K El Hindi, MF Javed, F Ahmad
Case Studies in Construction Materials 22, e04209, 2025
2025
Estimating the compressive and tensile strength of basalt fibre reinforced concrete using advanced hybrid machine learning models
I Ullah, MF Javed, H Alabduljabbar, H Ullah
Structures 71, 108138, 2025
2025
Machine learning models for predicting the compressive strength of cement-based mortar materials: Hyper tuning and optimization
M Alyami, I Ullah, AH AlAteah, A Alsubeai, TS Alahmari, F Farooq, ...
Structures 71, 107931, 2025
2025
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