| Explainable machine learning models for predicting the axial compression capacity of concrete filled steel tubular columns C Cakiroglu, K Islam, G Bekdaş, U Isikdag, S Mangalathu Construction and Building Materials 356, 129227, 2022 | 60 | 2022 |
| Effectiveness of wood waste sawdust to produce medium-to low-strength concrete materials F Batool, K Islam, C Cakiroglu, A Shahriar Journal of Building Engineering 44, 103237, 2021 | 46 | 2021 |
| Data-driven interpretable ensemble learning methods for the prediction of wind turbine power incorporating SHAP analysis C Cakiroglu, S Demir, MH Ozdemir, BL Aylak, G Sariisik, L Abualigah Expert Systems with Applications 237, 121464, 2024 | 36 | 2024 |
| Explainable ensemble learning data-driven modeling of mechanical properties of fiber-reinforced rubberized recycled aggregate concrete C Cakiroglu, M Shahjalal, K Islam, SMF Mahmood, AHMM Billah, ... Journal of Building Engineering 76, 107279, 2023 | 36 | 2023 |
| Interpretable machine learning algorithms to predict the axial capacity of FRP-reinforced concrete columns C Cakiroglu, K Islam, G Bekdaş, S Kim, ZW Geem Materials 15 (8), 2742, 2022 | 34 | 2022 |
| Optimisation of Shear and Lateral–Torsional Buckling of Steel Plate Girders Using Meta-Heuristic Algorithms C Cakiroglu, G Bekdaş, S Kim, ZW Geem Applied Sciences 10 (10), 3639, 2020 | 32 | 2020 |
| CO2 Emission and Cost Optimization of Concrete-Filled Steel Tubular (CFST) Columns Using Metaheuristic Algorithms C Cakiroglu, K Islam, G Bekdaş, M Billah Sustainability 13 (14), 8092, 2021 | 28 | 2021 |
| Harmony search optimisation of dispersed laminated composite plates C Cakiroglu, G Bekdaş, ZW Geem Materials 13 (12), 2862, 2020 | 23 | 2020 |
| Optimal dimensioning of retaining walls using explainable ensemble learning algorithms G Bekdaş, C Cakiroglu, S Kim, ZW Geem Materials 15 (14), 4993, 2022 | 21 | 2022 |
| Data-driven ensemble learning approach for optimal design of cantilever soldier pile retaining walls C Cakiroglu, K Islam, G Bekdaş, ML Nehdi Structures 51, 1268-1280, 2023 | 19 | 2023 |
| CO2 Emission Optimization of Concrete-Filled Steel Tubular Rectangular Stub Columns Using Metaheuristic Algorithms C Cakiroglu, K Islam, G Bekdaş, S Kim, ZW Geem Sustainability 13 (19), 10981, 2021 | 19 | 2021 |
| Interpretable predictive modelling of basalt fiber reinforced concrete splitting tensile strength using ensemble machine learning methods and SHAP approach C Cakiroglu, Y Aydın, G Bekdaş, ZW Geem Materials 16 (13), 4578, 2023 | 18 | 2023 |
| Optimization and predictive modeling of reinforced concrete circular columns G Bekdaş, C Cakiroglu, S Kim, ZW Geem Materials 15 (19), 6624, 2022 | 17 | 2022 |
| The effect of internal pressure on the tensile strain capacity of X52 pipelines with circumferential flaws D Abdulhameed, C Cakiroglu, M Lin, R Cheng, J Nychka, M Sen, ... Journal of Pressure Vessel Technology 138 (6), 061701, 2016 | 17 | 2016 |
| Optimum design of cylindrical walls using ensemble learning methods G Bekdaş, C Cakiroglu, K Islam, S Kim, ZW Geem Applied Sciences 12 (4), 2165, 2022 | 16 | 2022 |
| Metaheuristic optimization of laminated composite plates with cut-outs C Cakiroglu, K Islam, G Bekdaş, S Kim, ZW Geem Coatings 11 (10), 1235, 2021 | 14 | 2021 |
| Explainable ensemble learning models for the rheological properties of self-compacting concrete C Cakiroglu, G Bekdaş, S Kim, ZW Geem Sustainability 14 (21), 14640, 2022 | 13 | 2022 |
| Explainable machine learning model for predicting punching shear strength of FRC flat slabs T Liu, C Cakiroglu, K Islam, Z Wang, ML Nehdi Engineering Structures 301, 117276, 2024 | 12 | 2024 |
| Predictive modeling of recycled aggregate concrete beam shear strength using explainable ensemble learning methods C Cakiroglu, G Bekdaş Sustainability 15 (6), 4957, 2023 | 9 | 2023 |
| Optimal dimensions of post-tensioned concrete cylindrical walls using harmony search and ensemble learning with SHAP G Bekdaş, C Cakiroglu, S Kim, ZW Geem Sustainability 15 (10), 7890, 2023 | 6 | 2023 |
Gebrail Bekdaşİstanbul Üniversitesi-Cerrahpaşa, İnşaat mühendisliği bölümü在 istanbul.edu.tr 的电子邮件经过验证
