Items where Author is "Yu, Xiaojun"
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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. p. 1006612. DOI https://doi.org/10.1109/tim.2021.3069026
Sadiq, Muhammad Tariq and Yu, Xiaojun and Yuan, Zhaohui and Aziz, Muhammad Zulkifal (2020) Motor imagery BCI classification based on novel two‐dimensional modelling in empirical wavelet transform. Electronics Letters, 56 (25). pp. 1367-1369. DOI https://doi.org/10.1049/el.2020.2509
Fan, Zeming and Jamil, Mudasir and Sadiq, Muhammad Tariq and Huang, Xiwei and Yu, Xiaojun (2020) Exploiting Multiple Optimizers with Transfer Learning Techniques for the Identification of COVID-19 Patients. Journal of Healthcare Engineering, 2020. pp. 1-13. DOI https://doi.org/10.1155/2020/8889412
Sadiq, Muhammad Tariq and Yu, Xiaojun and Yuan, Zhaohui and Aziz, Muhammad Zulkifal (2020) Identification of Motor and Mental Imagery EEG in Two and Multiclass Subject-Dependent Tasks Using Successive Decomposition Index. Sensors, 20 (18). p. 5283. DOI https://doi.org/10.3390/s20185283
Ali, Bagh and Yu, Xiaojun and Sadiq, Muhammad Tariq and Rehman, Ateeq Ur and Ali, Liaqat (2020) A Finite Element Simulation of the Active and Passive Controls of the MHD Effect on an Axisymmetric Nanofluid Flow with Thermo-Diffusion over a Radially Stretched Sheet. Processes, 8 (2). p. 207. DOI https://doi.org/10.3390/pr8020207
Dong, Sheng and Yuan, Zhaohui and Yu, Xiaojun and Sadiq, Muhammad Tariq and Zhang, Jianrui and Zhang, Fuli and Wang, Cheng (2020) Flexible model predictive control based on multivariable online adjustment mechanism for robust gait generation. International Journal of Advanced Robotic Systems, 17 (1). pp. 1-15. DOI https://doi.org/10.1177/1729881419887291
Dong, Sheng and Yuan, Zhaohui and Yu, Xiaojun and Zhang, Jianrui and Sadiq, Muhammad Tariq and Zhang, Fuli (2019) On-Line Gait Adjustment for Humanoid Robot Robust Walking Based on Divergence Component of Motion. IEEE Access, 7. pp. 159507-159518. DOI https://doi.org/10.1109/access.2019.2949747
Sadiq, Muhammad Tariq and Yu, Xiaojun and Yuan, Zhaohui and Fan, Zeming and Rehman, Ateeq Ur and Li, Guoqi and Xiao, Gaoxi (2019) Motor Imagery EEG Signals Classification Based on Mode Amplitude and Frequency Components Using Empirical Wavelet Transform. IEEE Access, 7. pp. 127678-127692. DOI https://doi.org/10.1109/access.2019.2939623
Sadiq, Muhammad Tariq and Yu, Xiaojun and Yuan, Zhaohui and Zeming, Fan and Rehman, Ateeq Ur and Ullah, Inam and Li, Guoqi and Xiao, Gaoxi (2019) Motor Imagery EEG Signals Decoding by Multivariate Empirical Wavelet Transform-Based Framework for Robust Brain–Computer Interfaces. IEEE Access, 7. pp. 171431-171451. DOI https://doi.org/10.1109/access.2019.2956018