| Prediction of ecofriendly concrete compressive strength using gradient boosting regression tree combined with GridSearchCV hyperparameter-optimization techniques ZM Alhakeem, YM Jebur, SN Henedy, H Imran, LFA Bernardo, ... Materials 15 (21), 7432, 2022 | 54 | 2022 |
| Application of Multivariate Adaptive Regression Splines (MARS) approach in prediction of compressive strength of eco-friendly concrete AH Naser, AH Badr, SN Henedy, KA Ostrowski, H Imran Case Studies in Construction Materials 17, e01262, 2022 | 46 | 2022 |
| Investigating the latent factors of quality of work-life affecting construction craft worker job satisfaction Y Shan, H Imran, P Lewis, D Zhai Journal of construction engineering and management 143 (5), 04016134, 2017 | 42 | 2017 |
| Latest concrete materials dataset and ensemble prediction model for concrete compressive strength containing RCA and GGBFS materials H Imran, M Ibrahim, S Al-Shoukry, F Rustam, I Ashraf Construction and Building Materials 325, 126525, 2022 | 25 | 2022 |
| Development of prediction model to predict the compressive strength of eco-friendly concrete using multivariate polynomial regression combined with stepwise method H Imran, NM Al-Abdaly, MH Shamsa, A Shatnawi, M Ibrahim, ... Materials 15 (1), 317, 2022 | 21 | 2022 |
| Random forest algorithm for the strength prediction of geopolymer stabilized clayey soil HA Zeini, D Al-Jeznawi, H Imran, LFA Bernardo, Z Al-Khafaji, ... Sustainability 15 (2), 1408, 2023 | 19 | 2023 |
| Shear strength prediction of slender steel fiber reinforced concrete beams using a gradient boosting regression tree method A Shatnawi, HM Alkassar, NM Al-Abdaly, EA Al-Hamdany, LFA Bernardo, ... Buildings 12 (5), 550, 2022 | 15 | 2022 |
| Development of prediction model of steel fiber-reinforced concrete compressive strength using random forest algorithm combined with hyperparameter tuning and k-fold cross … NM Al-Abdaly, SR Al-Taai, H Imran, M Ibrahim Eastern-European Journal of Enterprise Technologies 5 (7), 113, 2021 | 15 | 2021 |
| Development of prediction models for the torsion capacity of reinforced concrete beams using M5P and nonlinear regression models SN Henedy, AH Naser, H Imran, LFA Bernardo, MM Teixeira, Z Al-Khafaji Journal of Composites Science 6 (12), 366, 2022 | 7 | 2022 |
| The machine-learning-based prediction of the punching shear capacity of reinforced concrete flat slabs: An advanced M5P model tree approach MH Abdallah, ZA Thoeny, SN Henedy, NM Al-Abdaly, H Imran, ... Applied Sciences 13 (14), 8325, 2023 | 3 | 2023 |
| Investigate the effect of quality of work-life on construction craft workers' job satisfaction H Imran Oklahoma State University, 2015 | 3 | 2015 |
| XGBoost Prediction Model Optimized with Bayesian for the Compressive Strength of Eco-Friendly Concrete Containing Ground Granulated Blast Furnace Slag and Recycled Coarse Aggregate SR Al-Taai, NM Azize, ZA Thoeny, H Imran, LFA Bernardo, Z Al-Khafaji Applied Sciences 13 (15), 8889, 2023 | 2 | 2023 |
| Utilizing Multivariate Adaptive Regression Splines (MARS) for Precise Estimation of Soil Compaction Parameters MS Abed, FJ Kadhim, JK Almusawi, H Imran, LFA Bernardo, SN Henedy Applied Sciences 13 (21), 11634, 2023 | 1 | 2023 |
| Shear strength prediction of steel-fiber-reinforced concrete beams using the M5P model NM Al-Abdaly, MJ Hussein, H Imran, SN Henedy, LFA Bernardo, ... Fibers 11 (5), 37, 2023 | 1 | 2023 |
| Prediction of the Bearing Capacity of Composite Grounds Made of Geogrid-Reinforced Sand over Encased Stone Columns Floating in Soft Soil Using a White-Box Machine Learning Model HA Zeini, NK Lwti, H Imran, SN Henedy, LFA Bernardo, Z Al-Khafaji Applied Sciences 13 (8), 5131, 2023 | 1 | 2023 |
| Assessment of Soil–Structure Interaction Approaches in Mechanically Stabilized Earth Retaining Walls: A Review H Imran, D Al-Jeznawi, MAQ Al-Janabi, LFA Bernardo CivilEng 4 (3), 982-999, 2023 | | 2023 |
| Torsional Capacity Prediction of Reinforced Concrete Beams Using Machine Learning Techniques Based on Ensembles of Trees DSO Bernardo, LFA Bernardo, H Imran, TP Ribeiro Applied Sciences 13 (3), 1385, 2023 | | 2023 |
| Case Studies in Construction Materials MS Nasr, IM Ali, AM Hussein, AA Shubbar, QT Kareem, AT AbdulAmeer | | 2020 |
| Case Studies in Construction Materials AH Naser, AH Badr, SN Henedy, KA Ostrowski, H Imran | | |
