Items where Author is "Yusoff, M.Z."

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Number of items: 41.

Article

Muzammel, M. and Yusoff, M.Z. and Saad, M.N.M. and Sheikh, F. and Awais, M.A. (2022) Blind-Spot Collision Detection System for Commercial Vehicles Using Multi Deep CNN Architecture. Sensors (Basel, Switzerland), 22 (16).

Khan, D.M. and Masroor, K. and Jailani, M.F.M. and Yahya, N. and Yusoff, M.Z. and Khan, S.M. (2022) Development of Wavelet Coherence EEG as a Biomarker for Diagnosis of Major Depressive Disorder. IEEE Sensors Journal.

Alwasiti, H. and Yusoff, M.Z. (2022) Motor Imagery Classification for Brain Computer Interface using Deep Convolutional Neural Networks and Mixup Augmentation. IEEE Open Journal of Vehicular Technology. pp. 1-8. ISSN 26441330

Sajjad, M. and Yusoff, M.Z. and Yahya, N. and Haider, A.S. (2021) An Efficient VLSI Architecture for FastICA by Using the Algebraic Jacobi Method for EVD. IEEE Access, 9. pp. 58287-58305.

Alyan, E. and Saad, N.M. and Kamel, N. and Yusoff, M.Z. and Zakariya, M.A. and Rahman, M.A. and Guillet, C. and Merienne, F. (2021) Frontal electroencephalogram alpha asymmetry during mental stress related to workplace noise. Sensors, 21 (6). pp. 1-12.

Sajjad, M. and Yusoff, M.Z. and Ahmed, M. (2021) A customized floating-point processor design for FPGA and ASIC based thermal compensation in high-precision sensing. Annals of Emerging Technologies in Computing, 5 (1). pp. 40-50.

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and MÃ©riaudeau, F. (2020) Deep learning architectures analysis for age-related macular degeneration segmentation on optical coherence tomography scans. Computer Methods and Programs in Biomedicine, 195.

Alwasiti, H. and Yusoff, M.Z. and Raza, K. (2020) Motor Imagery Classification for Brain Computer Interface Using Deep Metric Learning. IEEE Access, 8. pp. 109949-109963.

Alsaih, K. and Yusoff, M.Z. and Faye, I. and Tang, T.B. and Meriaudeau, F. (2020) Retinal Fluid Segmentation Using Ensembled 2-Dimensionally and 2.5-Dimensionally Deep Learning Networks. IEEE Access, 8. pp. 152452-152464.

Radzi, S.S.M. and Asirvadam, V.S. and Yusoff, M.Z. (2019) Fractal dimension and power spectrum of electroencephalography signals of sleep inertia state. IEEE Access, 7. pp. 185879-185892.

Abdalsalam M, E. and Yusoff, M.Z. and Mahmoud, D. and Malik, A.S. and Bahloul, M.R. (2018) Discrimination of four class simple limb motor imagery movements for brainâ��computer interface. Biomedical Signal Processing and Control, 44. pp. 181-190.

Shameen, Z. and Yusoff, M.Z. and Saad, M.N.M. and Malik, A.S. and Muzammel, M. (2018) Electroencephalography (EEG) based drowsiness detection for drivers: A review. ARPN Journal of Engineering and Applied Sciences, 13 (4). pp. 1458-1464.

Muzammel, M. and Yusoff, M.Z. and Meriaudeau, F. (2018) Event-Related Potential Responses of Motorcyclists Towards Rear End Collision Warning System. IEEE Access, 6. pp. 31609-31620.

Abdalsalam, E. and Yusoff, M.Z. and Malik, A. and Kamel, N.S. and Mahmoud, D. (2018) Modulation of sensorimotor rhythms for brain-computer interface using motor imagery with online feedback. Signal, Image and Video Processing, 12 (3). pp. 557-564.

Abdalsalam, E. and Yusoff, M.Z. and Kamel, N. and Malik, A.S. and Mahmoud, D. (2017) Classification of four class motor imagery for brain computer interface. Lecture Notes in Electrical Engineering, 398. pp. 297-305.

Ibrahim, R. and Gilani, S.F.U.H. and Jamil, A. and Yusoff, M.Z. (2017) Design and analysis of an RF rectifying circuit upon integration with monopole and Fractal antennas. 2016 2nd IEEE International Symposium on Robotics and Manufacturing Automation, ROMA 2016.

Muzammel, M. and Yusoff, M.Z. and Malik, A.S. and Saad, M.N.M. and Meriaudeau, F. (2017) Motorcyclists safety system to avoid rear end collisions based on acoustic signatures. Proceedings of SPIE - The International Society for Optical Engineering, 10338.

Muzammel, M. and Yusoff, M.Z. and Meriaudeau, F. (2017) Rear-end vision-based collision detection system for motorcyclists. Journal of Electronic Imaging, 26 (3).

Bahloul, M.R. and Yusoff, M.Z. and Abdel, A.-H. and Naufal, M.M.S. and Kudsi, L. (2017) Spectrum sensing for cognitive radio systems using modulation classification: A review. Applied Mathematics and Information Sciences, 11 (3). pp. 857-865.

Muzammel, M. and Yusoff, M.Z. and Malik, A.S. and Saad, M.N.M. and Meriaudeau, F. (2017) Studying the response of drivers against different collision warning systems: A review. Proceedings of SPIE - The International Society for Optical Engineering, 10338.

Yanti, D.K. and Yusoff, M.Z. and Asirvadam, V.S. (2016) Single-trial visual evoked potential extraction using partial least-squares-based approach. IEEE Journal of Biomedical and Health Informatics, 20 (1). pp. 82-90.

Bahloul, M.R. and Yusoff, M.Z. and Abdel-Aty, A.-H. and Saad, M.N.M. (2016) An efficient likelihood-based modulation classification algorithm for multiple-input multiple-output systems. Journal of Computational and Theoretical Nanoscience, 13 (11). pp. 7879-7885.

Armi, N. and Yusoff, M.Z. and Saad, N.M. (2015) Decentralized multiuser cooperative spectrum sensing in cognitive radio system. International Journal on Electrical Engineering and Informatics, 7 (3). pp. 418-428.

Bahloul, M.R. and Yusoff, M.Z. and Saad, M.N.M. (2015) Efficient and low complexity modulation classification algorithm for MIMO systems. Research Journal of Applied Sciences, Engineering and Technology, 9 (1). pp. 58-64.

Ousta, F. and Kamel, N. and Yusoff, M.Z. and Ali, S. (2014) Mapping QoS classes in loose coupling heterogeneous networks. Research Journal of Applied Sciences, Engineering and Technology, 8 (16). pp. 1777-1780.

Ousta, F. and Yusoff, M.Z. and Kamel, N. and Ali, S. (2014) QoS evolution in 3GPP mobile networks. Research Journal of Applied Sciences, Engineering and Technology, 8 (2). pp. 153-159.

Conference or Workshop Item

Suhaimi, N.S. and Yusoff, M.Z. and Saad, M.N.M. (2022) Artificial Neural Network Analysis On Motor Imagery Electroencephalogram. In: UNSPECIFIED.

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and Meriaudeau, F. (2020) Performance Evaluation of Convolutions and Atrous Convolutions in Deep Networks for Retinal Disease Segmentation on Optical Coherence Tomography Volumes. In: UNSPECIFIED.

Alsaih, K. and Yusoff, M.Z. and Tang, T.B. and Faye, I. and Meriaudeau, F. (2020) Retinal Fluids Segmentation Using Volumetric Deep Neural Networks on Optical Coherence Tomography Scans. In: UNSPECIFIED.

Soomro, M.H. and Badruddin, N. and Yusoff, M.Z. (2014) Comparison of blind source separation methods for removal of eye blink artifacts from EEG. In: Intelligent and Advanced Systems (ICIAS), 2014 5th International Conference on.

Soomro, M.H. and Badruddin, N. and Yusoff, M.Z. (2014) Comparison of blind source separation methods for removal of eye blink artifacts from EEG. In: UNSPECIFIED.

Abdalsalam M., E. and Yusoff, M.Z. and Kamel, N. and Malik, A. and Meselhy, M. (2014) Mental task motor imagery classifications for noninvasive brain computer interface. In: UNSPECIFIED.

Armi, N. and Yusoff, M.Z. and Saad, N.M. (2013) Cooperative spectrum sensing in decentralized cognitive radio system. In: UNSPECIFIED.

Sarraf, C.M. and Ousta, F. and Yusoff, M.Z. and Kamel, N. (2013) Mapping quality of service classes between UMTS, WiMAX and DiffServ/MPLS networks. In: UNSPECIFIED.

Jamil, A. and Yusoff, M.Z. and Yahya, N. (2011) An electrically small meander line antenna for wireless applications. In: 2010 Asia Pacific Conference on Circuit and System, APCCAS 2010; Kuala Lumpur; 6 December 2010 through 9 December 2010; Category number CFP10APC-ART; Code 85160.

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