| Wind turbine power curve modeling for reliable power prediction using monotonic regression M Mehrjoo, MJ Jozani, M Pawlak Renewable Energy 147, 214-222, 2020 | 58 | 2020 |
| Toward hybrid approaches for wind turbine power curve modeling with balanced loss functions and local weighting schemes M Mehrjoo, MJ Jozani, M Pawlak Energy 218, 119478, 2021 | 18 | 2021 |
| A multilevel modeling approach towards wind farm aggregated power curve M Mehrjoo, MJ Jozani, M Pawlak, B Bagen IEEE Transactions on Sustainable Energy 12 (4), 2230-2237, 2021 | 11 | 2021 |
| Swarm intelligent compressive routing in wireless sensor networks S Mehrjoo, A Sarrafzadeh, M Mehrjoo Computational Intelligence 31 (3), 513-531, 2015 | 11 | 2015 |
| Optimal Diversity of Recommendation List for Recommender Systems based on the Users’ Desire Diversity S Mehrjoo, M Mehrjoo, F Hajipour Korea Institute of Science and Technology Information, 2019 | 5 | 2019 |
| Using machine learning methods for wind turbine power curve modeling M Mehrjoo University of Manitoba, 2021 | 1 | 2021 |
| Application of telemetric sensors in mining to holistically manage vulnerability and risk in watersheds G Castillo, M Mehrjoo CIM, 2019 | | 2019 |
Mirosław PawlakProfessor of Electrical & Computer Engineering, University of Manitoba在 umanitoba.ca 的电子邮件经过验证
