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Amin, M. N., Salami, B. A., Zahid, M., Iqbal, M., Khan, K., Abu-Arab, A. M., Alabdullah, A. A., & Jalal, F. E. (2022). Investigating the Bond Strength of FRP Laminates with Concrete Using LIGHT GBM and SHAPASH Analysis. Polymers, 14(21), 16 pages. Lien externe
Abdulalim Alabdullah, A., Iqbal, M., Zahid, M., Khan, K., Nasir Amin, M., & Jalal, F. E. (2022). Prediction of rapid chloride penetration resistance of metakaolin based high strength concrete using light GBM and XGBoost models by incorporating SHAP analysis. Construction and Building Materials, 345, 13 pages. Lien externe
Iqbal, M., Zhang, D., Khan, M. I., Zahid, M., & Jalal, F. E. (2023). Effects of Rebar Size and Volume Fraction of Glass Fibers on Tensile Strength Retention of GFRP Rebars in Alkaline Environment via RSM and SHAP Analyses. Journal of Materials in Civil Engineering, 35(9), 15 pages. Lien externe
Jamal, A., Ijaz, M., Almosageah, M., Al-Ahmadi, H. M., Zahid, M., Ullah, I., & Al Mamlook, R. E. (2022). Implementing the Maximum Likelihood Method for Critical Gap Estimation under Heterogeneous Traffic Conditions. Sustainability, 14(23), 15888 (13 pages). Lien externe
Shah, S. F. A., Chen, B., Zahid, M., & Ahmad, M. R. (2022). Compressive strength prediction of one-part alkali activated material enabled by interpretable machine learning. Construction and Building Materials, 360, 129534 (10 pages). Lien externe
Ullah, I., Liu, K., Yamamoto, T., Zahid, M., & Jamal, A. (2023). Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction. Travel Behaviour and Society, 31, 78-92. Lien externe
Ullah, I., Liu, K., Yamamoto, T., Zahid, M., & Jamal, A. (2022). Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations. International Journal of Energy Research, 46(11), 15211-15230. Lien externe
Wang, C., Ijaz, M., Chen, F., Song, D., Hou, M., Zhang, Y., Cheng, J., & Zahid, M. (2023). Differences in single-vehicle motorcycle crashes caused by distraction and overspeed behaviors: considering temporal shifts and unobserved heterogeneity in prediction. International Journal of Injury Control and Safety Promotion, 30(3), 375-391. Lien externe
Wang, C., Ijaz, M., Chen, F., Easa, S. M., Zhang, Y., Cheng, J., & Zahid, M. (2023). Temporal assessment of injury severities of two types of pedestrian-vehicle crashes using unobserved-heterogeneity models. Journal of Transportation Safety & Security, 50 pages. Lien externe
Wang, C., Ijaz, M., Chen, F., Zhang, Y., Cheng, J., & Zahid, M. (2022). Evaluating gender differences in injury severities of non-helmet wearing motorcyclists: Accommodating temporal shifts and unobserved heterogeneity. Analytic Methods in Accident Research, 36, 100249 (24 pages). Lien externe
Zahid, M., Habib, M. F., Ijaz, M., Ameer, I., Ullah, I., Ahmed, T., & He, Z. (2024). Factors affecting injury severity in motorcycle crashes: Different age groups analysis using Catboost and SHAP techniques. Traffic Injury Prevention, 10 pages. Lien externe
