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Azizan As'arry

Showing results (1-10 of 5) with videos related to

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Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|August 1, 2013
Hybrid learning control for improving suppression of hand tremorAzizan As'arry, Mohd Zarhamdy Md Zain, Musa Mailah, et al.
Diagnostics (Basel, Switzerland)|February 5, 2021
Quantification of the Therapist's Gentle Pull for Pinch Strength Testing Based on FMA and MMT: An Experimental Study with Healthy SubjectsAbdallah Alsayed, Raja Kamil, Veronica Rowe, et al.
Scientific Reports|December 30, 2025
DSWFNet: dual-branch fusion of spatial and wavelet features for road extraction from remote sensing imagesKunlun Zhang, Azizan As'arry, Xibing Shen, et al.
Plos One|September 11, 2024
A hybrid Transformer-LSTM model apply to glucose predictionQingXiang Bian, Azizan As'arry, XiangGuo Cong, et al.
Plos One|September 3, 2025
Adaptive force-position-speed collaborative process planning and roughness prediction for robotic polishingMa Haohao, Azizan As'arry, Niu Jing, et al.
Pageof 1

Showing results (1-10 of 5) with videos related to

Sort By:
Pageof 1
Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine|August 1, 2013
Hybrid learning control for improving suppression of hand tremorAzizan As'arry, Mohd Zarhamdy Md Zain, Musa Mailah, et al.
Diagnostics (Basel, Switzerland)|February 5, 2021
Quantification of the Therapist's Gentle Pull for Pinch Strength Testing Based on FMA and MMT: An Experimental Study with Healthy SubjectsAbdallah Alsayed, Raja Kamil, Veronica Rowe, et al.
Scientific Reports|December 30, 2025
DSWFNet: dual-branch fusion of spatial and wavelet features for road extraction from remote sensing imagesKunlun Zhang, Azizan As'arry, Xibing Shen, et al.
Plos One|September 11, 2024
A hybrid Transformer-LSTM model apply to glucose predictionQingXiang Bian, Azizan As'arry, XiangGuo Cong, et al.
Plos One|September 3, 2025
Adaptive force-position-speed collaborative process planning and roughness prediction for robotic polishingMa Haohao, Azizan As'arry, Niu Jing, et al.
Pageof 1