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Lv, Renjie and Chang, Wenwen and Yan, Guanghui and Sadiq, Muhammad Tariq and Nie, Wenchao and Zheng, Lei (2025) Enhanced classification of motor imagery EEG signals using spatio-temporal representations. Information Sciences, 714. p. 122221. DOI https://doi.org/10.1016/j.ins.2025.122221

Yousaf, Muhammad Zain and Guerrero, Josep M and Sadiq, Muhammad Tariq and Farooq, Umar (2025) Enhancing machinery reliability in lunar bases: Optimized machine learning for bearing fault classification in DC power distribution networks. Measurement, 253. p. 117737. DOI https://doi.org/10.1016/j.measurement.2025.117737

Yousaf, Muhammad Zain and Guerrero, Josep M and Sadiq, Muhammad Tariq (2025) Optimizing machine learning algorithms for fault classification in rolling bearings: A Bayesian Optimization approach. Engineering Applications of Artificial Intelligence, 150. p. 110597. DOI https://doi.org/10.1016/j.engappai.2025.110597

Lv, Renjie and Chang, Wenwen and Yan, Guanghui and Nie, Wenchao and Zheng, Lei and Guo, Bin and Sadiq, Muhammad Tariq (2025) A novel recognition and classification approach for motor imagery based on spatio-temporal features. IEEE Journal of Biomedical and Health Informatics, 29 (1). pp. 210-223. DOI https://doi.org/10.1109/JBHI.2024.3464550 (In Press)

Siuly, Siuly and Khare, Smith K and Kabir, Enamul and Sadiq, Muhammad Tariq and Wang, Hua (2024) An efficient Parkinson's disease detection framework: Leveraging time-frequency representation and AlexNet convolutional neural network. Computers in Biology and Medicine, 174. p. 108462. DOI https://doi.org/10.1016/j.compbiomed.2024.108462

Yu, Xiaojun and Aziz, Muhammad Zulkifal and Sadiq, Muhammad Tariq and Fan, Zeming and Xiao, Gaoxi (2021) A New Framework for Automatic Detection of Motor and Mental Imagery EEG Signals for Robust BCI Systems. IEEE Transactions on Instrumentation and Measurement, 70. pp. 1-12. DOI https://doi.org/10.1109/tim.2021.3069026