| Neural network control of a robotic manipulator with input deadzone and output constraint W He, AO David, Z Yin, C Sun IEEE Transactions on Systems, Man, and Cybernetics: Systems 46 (6), 759-770, 2015 | 392 | 2015 |
| Adaptive voltage and frequency control of islanded multi-microgrids DO Amoateng, M Al Hosani, MS Elmoursi, K Turitsyn, JL Kirtley IEEE Transactions on Power Systems 33 (4), 4454-4465, 2017 | 116 | 2017 |
| Adaptive neural network control of a robotic manipulator with unknown backlash‐like hysteresis W He, D Ofosu Amoateng, C Yang, D Gong IET Control Theory & Applications 11 (4), 567-575, 2017 | 77 | 2017 |
| Topology detection in power distribution networks: A PMU based deep learning approach DO Amoateng, R Yan, M Mosadeghy, TK Saha IEEE Transactions on Power Systems 37 (4), 2771-2782, 2021 | 20 | 2021 |
| A deep unsupervised learning approach to PMU event detection in an active distribution network DO Amoateng, R Yan, TK Saha 2020 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2020 | 6 | 2020 |
| Intelligent position, pressure and depth sensing in a soft optical waveguide skin DO Amoateng, M Totaro, M Crepaldi, E Falotico, L Beccai 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft), 349-354, 2019 | 6 | 2019 |
| An Intelligent Event Detection Framework To Improve Situational Awareness In PMU Power Distribution Networks DO Amoateng, J Yaghoobi 2021 IEEE PES Innovative Smart Grid Technologies-Asia (ISGT Asia), 1-5, 2021 | 2 | 2021 |
| Improving Situational Awareness in Distribution Networks Using Synchrophasors D Amoateng | | 2022 |
Mohamed Shawky El MoursiProfessor, IEEE Fellow, Khalifa University, Abu Dhabi, UAE - on leave from Mansoura UniversityE-mail megerősítve itt: ku.ac.ae