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Chuang Lin

Showing results (1-10 of 76) with videos related to

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Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|December 27, 2024
A U-Net based partial convolutional time-domain separation model to identify motor units from surface electromyographic signals in real timeZiwei Cui, Chuang Lin
Frontiers in Neurorobotics|May 20, 2024
Fusion inception and transformer network for continuous estimation of finger kinematics from surface electromyographyChuang Lin, Xiaobing Zhang
Frontiers in Neuroscience|April 4, 2024
A rotary transformer cross-subject model for continuous estimation of finger joints kinematics and a transfer learning approach for new subjectsChuang Lin, Zheng He
Chemosphere|January 24, 2016
Spatial-temporal characteristics and determinants of PM2.5 in the Bohai Rim Urban AgglomerationZhen-bo Wang, Chuang-lin Fang
Journal of Neuroengineering and Rehabilitation|December 30, 2024
Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signalsChuang Lin, Qiong Xiao, Penghui Zhao
Scientific Reports|October 16, 2025
A parallel and efficient transformer deep learning network for continuous estimation of hand kinematics from electromyographic signalsChuang Lin, Xifeng Zhang, Chunxiao Zhao
Sensors (Basel, Switzerland)|March 29, 2017
Trust Model of Wireless Sensor Networks and Its Application in Data FusionZhenguo Chen, Liqin Tian, Chuang Lin
ACS Applied Materials & Interfaces|May 21, 2025
Unlocking Enhanced Ionic Transport: A Machine Learning-Driven AIMD Study on Doping, Defects, and Strain in Antiperovskite Solid-State ElectrolytesChuang Lin, Lin Zhang, Yi Dong
Frontiers in Neuroscience|July 25, 2024
Robust gesture recognition based on attention-deep fast convolutional neural network and surface electromyographic signalsChuang Lin, Yuhao Wang, Ming Dai
Sensors (Basel, Switzerland)|May 7, 2019
A Convolution Component-Based Method with Attention Mechanism for Travel-Time PredictionXiangdong Ran, Zhiguang Shan, Yufei Fang, et al.
Pageof 8

Showing results (1-10 of 76) with videos related to

Sort By:
Pageof 8
Journal of Electromyography and Kinesiology : Official Journal of the International Society of Electrophysiological Kinesiology|December 27, 2024
A U-Net based partial convolutional time-domain separation model to identify motor units from surface electromyographic signals in real timeZiwei Cui, Chuang Lin
Frontiers in Neurorobotics|May 20, 2024
Fusion inception and transformer network for continuous estimation of finger kinematics from surface electromyographyChuang Lin, Xiaobing Zhang
Frontiers in Neuroscience|April 4, 2024
A rotary transformer cross-subject model for continuous estimation of finger joints kinematics and a transfer learning approach for new subjectsChuang Lin, Zheng He
Chemosphere|January 24, 2016
Spatial-temporal characteristics and determinants of PM2.5 in the Bohai Rim Urban AgglomerationZhen-bo Wang, Chuang-lin Fang
Journal of Neuroengineering and Rehabilitation|December 30, 2024
Multi-scale attention patching encoder network: a deployable model for continuous estimation of hand kinematics from surface electromyographic signalsChuang Lin, Qiong Xiao, Penghui Zhao
Scientific Reports|October 16, 2025
A parallel and efficient transformer deep learning network for continuous estimation of hand kinematics from electromyographic signalsChuang Lin, Xifeng Zhang, Chunxiao Zhao
Sensors (Basel, Switzerland)|March 29, 2017
Trust Model of Wireless Sensor Networks and Its Application in Data FusionZhenguo Chen, Liqin Tian, Chuang Lin
ACS Applied Materials & Interfaces|May 21, 2025
Unlocking Enhanced Ionic Transport: A Machine Learning-Driven AIMD Study on Doping, Defects, and Strain in Antiperovskite Solid-State ElectrolytesChuang Lin, Lin Zhang, Yi Dong
Frontiers in Neuroscience|July 25, 2024
Robust gesture recognition based on attention-deep fast convolutional neural network and surface electromyographic signalsChuang Lin, Yuhao Wang, Ming Dai
Sensors (Basel, Switzerland)|May 7, 2019
A Convolution Component-Based Method with Attention Mechanism for Travel-Time PredictionXiangdong Ran, Zhiguang Shan, Yufei Fang, et al.
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