| Forecasting of pile plugging using machine learning A Kodsy, B Ozturk, M Iskander Acta Geotechnica 18 (7), 3697-3714, 2023 | 15 | 2023 |
| Forecasting the capacity of open-ended pipe piles using machine learning B Ozturk, A Kodsy, M Iskander Infrastructures 8 (1), 12, 2023 | 15 | 2023 |
| Efficacy of several design methods for predicting the axial compressive capacity of piles B Ozturk, A Kodsy, Y Bazi, MG Iskander Transportation Research Record 2677 (9), 1-17, 2023 | 8 | 2023 |
| Effect of feature selection technique on the pile capacity predicted using machine learning B Ozturk, A Kodsy, M Iskander Geo-Congress 2024, 153-163, 2024 | 7 | 2024 |
| Forecasting the bearing capacity of open-ended pipe piles using machine learning ensemble methods B Ozturk, A Kodsy, M Iskander IFCEE 2024, 146-156, 2024 | 4 | 2024 |
| Placing engineering in the earthquake response and the survival chain L Ceferino, Y Merino, S Pizarro, L Moya, B Ozturk Nature Communications 15 (1), 4298, 2024 | 3 | 2024 |
| Assessment of several interpretation criteria for tensile axial load tests on deep foundations A Kodsy, B Öztürk, Y Bazi, MG Iskander Transportation Research Record 2677 (6), 559-572, 2023 | 2 | 2023 |
| Using Machine Learning to Predict Axial Pile Capacity B Ozturk, A Kodsy, M Iskander Transportation Research Record 2678 (11), 2224-2244, 2024 | 1 | 2024 |
| Forecasting the Capacity of Open-Ended Pipe Piles Using Machine Learning. Infrastructures 2023, 8, 12 B Ozturk, A Kodsy, M Iskander | | 2023 |
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