Items where Author is "Al-Saggaf, U.M."

Article

Mehedi, I.M. and Al-Saggaf, U.M. and Vellingiri, M.T. and Milyani, A.H. and Saad, N.B. and Yahaya, N.Z.B. (2022) Obso based fractional pid for mppt-pitch control of wind turbine systems. Computers, Materials and Continua, 71 (2). pp. 4001-4017.

Al-Saggaf, U.M. and Naqvi, S.F. and Moinuddin, M. and Alfakeh, S.A. and Ali, S.S.A. (2022) Performance Evaluation of EEG Based Mental Stress Assessment Approaches for Wearable Devices. Frontiers in Neurorobotics, 15.

Mehedi, I.M. and Saad, N. and Magzoub, M.A. and Al-Saggaf, U.M. and Milyani, A.H. (2022) Simulation Analysis and Experimental Evaluation of Improved Field-Oriented Controlled Induction Motors Incorporating Intelligent Controllers. IEEE Access.

Hussain, N.A.A. and Ali, S.S.A. and Ridao, P. and Cieslak, P. and Al-Saggaf, U.M. (2020) Implementation of Nonlinear Adaptive U-Model Control Synthesis Using a Robot Operating System for an Unmanned Underwater Vehicle. IEEE Access, 8. pp. 205685-205695.

Hussain, N.A.A. and Ali, S.S.A. and Ovinis, M. and Arshad, M.R. and Al-Saggaf, U.M. (2020) Underactuated Coupled Nonlinear Adaptive Control Synthesis Using U-Model for Multivariable Unmanned Marine Robotics. IEEE Access, 8. pp. 1851-1865.

Hafeez, Y. and Ali, S.S.A. and Mumtaz, W. and Moinuddin, M. and Adil, S.H. and Al-Saggaf, U.M. and Yasin, M.A.B.M. and Malik, A.S. (2019) Investigating Neurofeedback Protocols for Stress Mitigation: A Comparative Analysis of Different Stimulus Contents. IEEE Access, 7. pp. 141021-141035.

Hafeez, Y. and Ali, S.S.A. and Mumtaz, W. and Moinuddin, M. and Adil, S.H. and Al-Saggaf, U.M. and Yasin, M.A.B.M. and Malik, A.S. (2019) Investigating Neurofeedback Protocols for Stress Mitigation: A Comparative Analysis of Different Stimulus Contents. IEEE Access, 7. pp. 141021-141035.

Conference or Workshop Item

Shah, M.H.M. and Mehedi, I.M. and Al-Saggaf, U.M. and Milyani, A.H. and Saad, N.B. and Yahaya, N.Z. (2021) Balancing a Rotary Double Inverted Pendulum using Two-loops Adaptive Controller based on Dynamic Inversion Technique. In: UNSPECIFIED.

Al-Saggaf, U.M. and Botalb, A. and Moinuddin, M. and Alfakeh, S.A. and Ali, S.S.A. and Boon, T.T. (2021) Either crop or pad the input volume: What is beneficial for Convolutional Neural Network? In: UNSPECIFIED.

Book

Al-Saggaf, U.M. and Moinuddin, M. and Azhar Ali, S.S. and Hussain Rizvi, S.S. and Faisal, M. (2022) Machine Learning Aided Channel Equalization in Filter Bank Multi-Carrier Communications for 5G. wiley, pp. 1-9. ISBN 9781119792581; 9781119791805