| Effect of different atmospheric boundary layers on the wake characteristics of NREL phase VI wind turbine IFSA Kabir, EYK Ng Renewable energy 130, 1185-1197, 2019 | 46 | 2019 |
| Insight into stall delay and computation of 3D sectional aerofoil characteristics of NREL phase VI wind turbine using inverse BEM and improvement in BEM analysis accounting for … IFSA Kabir, EYK Ng Energy 120, 518-536, 2016 | 44 | 2016 |
| New analytical wake models based on artificial intelligence and rivalling the benchmark full-rotor CFD predictions under both uniform and ABL inflows IFSA Kabir, F Safiyullah, EYK Ng, VWY Tam Energy 193, 116761, 2020 | 29 | 2020 |
| Design and Performance Comparison of Two Patterns of Wind-catcher for a Semi-enclosed Courtyard N Benkari, I Fazil, A Husain International Journal of Mechanical Engineering and Robotics Research 6 (5 …, 2017 | 29 | 2017 |
| Evaluation of three potential machine learning algorithms for predicting the velocity and turbulence intensity of a wind turbine wake S Purohit, EYK Ng, IFSA Kabir Renewable Energy 184, 405-420, 2022 | 28 | 2022 |
| Performance evaluation of air flow and thermal comfort in the room with Wind-Catcher using different CFD techniques under neutral Atmospheric Boundary Layer IFSA Kabir, S Kanagalingam, F Safiyullah Energy Procedia 143, 199-203, 2017 | 21 | 2017 |
| On the accuracy of uRANS and LES-based CFD modeling approaches for rotor and wake aerodynamics of the (New) MEXICO wind turbine rotor phase-iii S Purohit, IFSA Kabir, EYK Ng Energies 14 (16), 5198, 2021 | 15 | 2021 |
| Novel machine-learning-based stall delay correction model for improving blade element momentum analysis in wind turbine performance prediction IF Syed Ahmed Kabir, MK Gajendran, EYK Ng, A Mehdizadeh, ... Wind 2 (4), 636-658, 2022 | 8 | 2022 |
| On the limitations of machine learning (ml) methodologies in predicting the wake characteristics of wind turbines MK Gajendran, IFSA Kabir, S Purohit, EYK Ng Renewable Energy Systems in Smart Grid: Select Proceedings of International …, 2022 | 7 | 2022 |
| Machine Learning-Based Approach to Wind Turbine Wake Prediction under Yawed Conditions MK Gajendran, IFSA Kabir, S Vadivelu, EYK Ng Journal of Marine Science and Engineering 11 (11), 2111, 2023 | 2 | 2023 |
| Improvement of bem analysis to incorporate stall delay effect and the study of atmospheric boundary layer effect on the wake characteristics of NREL phase VI turbine IFSA Kabir | 2 | 2018 |
| Machine learning techniques in indoor environmental quality assessment MK Gajendran, IFSA Kabir, S Vadivelu, EYK Ng, RC Thota IntechOpen, 2023 | 1 | 2023 |
| Correction to: Priority of Mixed-Mode Ventilation during Epidemics: A Comprehensive Investigation IFSA Kabir, MK Gajendran, EEYK Ng IntechOpen, 2024 | | 2024 |
| Optimizing Mixed-Mode Ventilation during Epidemics: An Investigation IFSA Kabir, MK Gajendran, EYK Ng IntechOpen, 2024 | | 2024 |
| Cryogenic carbon capture using efficacious exchange of waste heat energy from flue gas with waste cold energy from LNG F Rahman, I Kabir, MK Gajendran, S Vadivelu, EYK Ng 2023 2nd International Conference on Advanced Electronics, Electrical and …, 2023 | | 2023 |
| Novel interpretable wake model using Machine Learning based symbolic regression for wind turbines MA Khan, MK Gajendran, I Kabir, S Vadivelu, EYK Ng, A Mehdizadeh 2023 2nd International Conference on Advanced Electronics, Electrical and …, 2023 | | 2023 |
| Modelling the Effective Thermal Conductivity of Particulate Reinforced Composites using APDL and Genetic Programing F Safiyullah, V Tam, I Fazil, A Berrouk Abstract Proceedings of 2019 International Conference on Resource …, 2019 | | 2019 |
EYK NgNanyang Technological University在 ntu.edu.sg 的电子邮件经过验证
