| A review on fault detection and diagnosis techniques: basics and beyond A Abid, MT Khan, J Iqbal Artificial Intelligence Review 54 (5), 3639-3664, 2021 | 244 | 2021 |
| Real-time machine-learning based crop/weed detection and classification for variable-rate spraying in precision agriculture M Alam, MS Alam, M Roman, M Tufail, MU Khan, MT Khan 2020 7th international conference on electrical and electronics engineering …, 2020 | 127 | 2020 |
| Deep learning-based identification system of weeds and crops in strawberry and pea fields for a precision agriculture sprayer S Khan, M Tufail, MT Khan, ZA Khan, S Anwar Precision Agriculture 22 (6), 1711-1727, 2021 | 97 | 2021 |
| Multidomain features-based GA optimized artificial immune system for bearing fault detection A Abid, MT Khan, MS Khan IEEE Transactions on Systems, Man, and Cybernetics: Systems 50 (1), 348-359, 2017 | 62 | 2017 |
| Real-time recognition of spraying area for UAV sprayers using a deep learning approach S Khan, M Tufail, MT Khan, ZA Khan, J Iqbal, A Wasim Plos one 16 (4), e0249436, 2021 | 59 | 2021 |
| Fuzzy logic based edge detection in smooth and noisy clinical images I Haq, S Anwar, K Shah, MT Khan, SA Shah PloS one 10 (9), e0138712, 2015 | 55 | 2015 |
| Experimental Study of Direct Laser Deposition of Ti‐6Al‐4V and Inconel 718 by Using Pulsed Parameters K Shah, IU Haq, SA Shah, FU Khan, MT Khan, S Khan The Scientific World Journal 2014 (1), 841549, 2014 | 55 | 2014 |
| A novel semi-supervised framework for UAV based crop/weed classification S Khan, M Tufail, MT Khan, ZA Khan, J Iqbal, M Alam Plos one 16 (5), e0251008, 2021 | 51 | 2021 |
| A novel framework for multiple ground target detection, recognition and inspection in precision agriculture applications using a UAV S Khan, M Tufail, MT Khan, ZA Khan, J Iqbal, A Wasim Unmanned Systems 10 (01), 45-56, 2022 | 43 | 2022 |
| Identification of tobacco crop based on machine learning for a precision agricultural sprayer M Tufail, J Iqbal, MI Tiwana, MS Alam, ZA Khan, MT Khan IEEE access 9, 23814-23825, 2021 | 42 | 2021 |
| Adaptive system identification and severity index-based fault diagnosis in motors A Abid, MT Khan, H Lang, CW de Silva IEEE/ASME Transactions on Mechatronics 24 (4), 1628-1639, 2019 | 39 | 2019 |
| Layered and real-valued negative selection algorithm for fault detection A Abid, MT Khan, CW de Silva IEEE Systems Journal 12 (3), 2960-2969, 2017 | 33 | 2017 |
| Performance analysis of a semiactive suspension system with particle swarm optimization and fuzzy logic control AJ Qazi, CW de Silva, A Khan, MT Khan The Scientific World Journal 2014 (1), 174102, 2014 | 32 | 2014 |
| Fault detection in mobile robots using sensor fusion A Abid, MT Khan, CW De Silva 2015 10th International Conference on Computer Science & Education (ICCSE), 8-13, 2015 | 28 | 2015 |
| TobSet: A new tobacco crop and weeds image dataset and its utilization for vision-based spraying by agricultural robots MS Alam, M Alam, M Tufail, MU Khan, A Güneş, B Salah, FE Nasir, ... Applied Sciences 12 (3), 1308, 2022 | 24 | 2022 |
| An improved negative selection algorithm-based fault detection method A Abid, MT Khan, IU Haq, S Anwar, J Iqbal IETE Journal of Research 68 (5), 3406-3417, 2022 | 23 | 2022 |
| A parametric study on performance of semi-active suspension system with variable damping coefficient limit AJ Qazi, A Khan, MT Khan, S Noor AASRI Procedia 4, 154-159, 2013 | 21 | 2013 |
| Optimization of semi-active suspension system using particle swarm optimization algorithm AJ Qazi, UA Farooqui, A Khan, MT Khan, F Mazhar, A Fiaz AASRI Procedia 4, 160-166, 2013 | 21 | 2013 |
| Autonomous fault tolerant multi-robot cooperation using artificial immune system MT Khan, CW de Silva 2008 IEEE International Conference on Automation and Logistics, 623-628, 2008 | 21 | 2008 |
| Agent-based fault tolerant framework for manufacturing process automation ZA Khan, MT Khan, I Ul Haq, K Shah International journal of computer integrated manufacturing 32 (3), 268-277, 2019 | 19 | 2019 |
Clarence de SilvaProfessor of Mechanical Engineering, The University of British Columbia在 mech.ubc.ca 的电子邮件经过验证
