Spremljaj
Ali Alsubeai
Ali Alsubeai
Assistant Professor
Preverjeni e-poštni naslov na rcjy.edu.sa - Domača stran
Naslov
Navedeno
Navedeno
Leto
Rainfall-Runoff Simulation and Modelling Using HEC-HMS and HEC-RAS Models: Case Study Tabuk, Saudi Arabia
A Alsubeai, SR Burckhard
Natural Resources 12 (10), 321-338, 2021
102021
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
62024
Predicting High-Strength Concrete’s Compressive Strength: A Comparative Study of Artificial Neural Networks, Adaptive Neuro-Fuzzy Inference System, and Response Surface Methodology
T Li, J Yang, P Jiang, AH AlAteah, A Alsubeai, AM Alfares, M Sufian
Materials 17 (18), 4533, 2024
32024
Evaluating the Interactive Effects of Traffic Volumes and Access Density on Crash Frequency
AM Alsubeai
South Dakota State University, 2017
32017
Prediction of Ultra-High-Performance Concrete (UHPC) Properties Using Gene Expression Programming (GEP)
Y Qian, J Yang, W Yang, AH Alateah, A Alsubeai, AM Alfares, M Sufian
Buildings 14 (9), 2675, 2024
22024
Integrating micro-and nanowaste glass with waste foundry sand in ultra-high-performance concrete to enhance material performance and sustainability
D Zheng, AH AlAteah, A Alsubeai, SA Mostafa
Reviews on Advanced Materials Science 63 (1), 20240012, 2024
22024
Interannual Climate Variability in Tabuk, Saudi Arabia: Impacts on Annual and Seasonal Precipitation
A Alsubeai, SR Burckhard
Atmospheric and Climate Sciences 11 (4), 645-657, 2021
22021
A Hydrological Climate Study for an Arid Region
A Alsubeai
South Dakota State University, 2021
22021
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
12025
Prediction of flexural strength of concrete with eggshell and glass powders: Advanced cutting-edge approach for sustainable materials
X Liu, AH AlAteah, A Alsubeai, TS Alahmari, SA Mostafa
Reviews on Advanced Materials Science 63 (1), 20240055, 2024
12024
Evaluation of Machine Learning and Traditional Methods for Estimating Compressive Strength of UHPC
T Li, P Jiang, Y Qian, J Yang, AH AlAteah, A Alsubeai, AM Alfares, ...
Buildings 14 (9), 2693, 2024
2024
A Hybrid Machine Learning Approach for Predicting Fiber Reinforced Polymer-Concrete Interface Bond Strength
S Wahab, B Salami, H Danish, S Nisar, AH AlAteah, A Alsubeai
Available at SSRN 5055231, 0
Sistem trenutno ne more izvesti postopka. Poskusite znova pozneje.
Članki 1–12