A novel online method for identifying motion artifact and photoplethysmography signal reconstruction using artificial neural networks and adaptive neuro-fuzzy inference system B Tarvirdizadeh, A Golgouneh, F Tajdari, E Khodabakhshi Neural Computing and Applications 32, 3549-3566, 2020 | 37 | 2020 |
Switching controller design to swing-up a two-link underactuated robot F Tajdari, E Khodabakhshi, M Kabganian, A Golgouneh 2017 IEEE 4th International Conference on Knowledge-Based Engineering and …, 2017 | 29 | 2017 |
Robust control of a 3-dof parallel cable robot using an adaptive neuro-fuzzy inference system F Tajdari, M Kabganian, NF Rad, E Khodabakhshi 2017 Artificial Intelligence and Robotics (IRANOPEN), 97-101, 2017 | 28 | 2017 |
Design, implementation and control of a two-link fully-actuated robot capable of online identification of unknown dynamical parameters using adaptive sliding mode controller F Tajdari, M Kabganian, E Khodabakhshi, A Golgouneh 2017 Artificial Intelligence and Robotics (IRANOPEN), 91-96, 2017 | 27 | 2017 |
An assessment of a similarity between the right and left hand photoplethysmography signals, using time and frequency features of heart-rate-variability signal B Tarvirdizadeh, A Golgouneh, E Khodabakhshi, F Tajdari 2017 IEEE 4th international conference on knowledge-based engineering and …, 2017 | 23 | 2017 |
Characterization and Control of a Piezoelectrically Actuated High-speed Planar Nanopositioner* E Khodabakhshi, N Nikooienejad, M Maroufi, SOR Moheimani 2022 IEEE Conference on Control Technology and Applications (CCTA), 1313-1318, 2022 | 1 | 2022 |
Design and Characterization of a Novel High-bandwidth Flexure-guided XY Nanopositioner E Khodabakhshi, N Nikooienejad, M Maroufi, SOR Moheimani IFAC-PapersOnLine 55 (27), 271-276, 2022 | 1 | 2022 |