| An adaptive ADRC control for parkinson’s patients using machine learning B Faraji, M Gheisarnejad, M Yalsavar, MH Khooban IEEE Sensors Journal 21 (6), 8670-8678, 2020 | 22 | 2020 |
| Kernel parameter optimization for support vector machine based on sliding mode control M Yalsavar, P Karimaghaee, A Sheikh-Akbari, MH Khooban, ... IEEE Access 10, 17003-17017, 2022 | 15 | 2022 |
| A novel nonsingular terminal sliding mode control-based double interval Type-2 fuzzy systems: Real-time implementation H Mohammadi Moghadam, M Gheisarnejad, M Yalsavar, H Foroozan, ... Inventions 6 (2), 40, 2021 | 6 | 2021 |
| Support vector machine and its difficulties from control field of view M Yalsavar, P Karimaghaei, A Sheikh-Akbari, P Shukla, P Setoodeh Transactions of the Institute of Measurement and Control 43 (9), 1833-1842, 2021 | 4 | 2021 |
| Design and Manufacturing Modular Inverter with High Power and Frequency for Increasing Safety Factor in Industrial Applications M Yalsavar, Y Salmanpour, M Hajihosseini, P Karimaghaee 2019 5th Conference on Knowledge Based Engineering and Innovation (KBEI …, 2019 | 3 | 2019 |
| Sliding mode control based support vector machine rbf kernel parameter optimization M Yalsavar, P Karimaghaee, A Sheikh-Akbari, J Dehmeshki, ... 2019 IEEE International Conference on Imaging Systems and Techniques (IST), 1-6, 2019 | 2 | 2019 |
| Support Vector Machine and It M Yalsavar, P Karimaghaee, A Sheikh Akbari, P Shukla, P Setoodeh | | 2021 |
| Sliding Mode Control based Support Vector Machine RBF Kernel Parameter Optimization A Sheikh-Akbari, J Dehmeshki, M Yalsavar, MH Khooban, ... University of Lincoln, 0 | | |
Peyman SetoodehMcMaster UniversityVerifisert e-postadresse på ieee.org
