Search Results - "Tang, Xianlun"

Motor Imagery EEG Decoding Based on Multi-scale Hybrid Networks and Feature Enhancement by Tang, Xianlun, Yang, Caiquan, Sun, Xia, Zou, Mi, Wang, Huiming

“…Motor Imagery (MI) based on Electroencephalography (EEG), a typical Brain-Computer Interface (BCI) paradigm, can communicate with external devices according to…”
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Finite-time disturbance observer-based trajectory tracking control for flexible-joint robots by Wang, Huiming, Zhang, Yang, Zhao, Zhenhua, Tang, Xianlun, Yang, Jun, Chen, I-Ming

“…This paper proposes a robust finite-time control scheme for the high-precision tracking problem of (FJRs) with various types of unpredictable disturbances…”
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Enhancing EEG and sEMG Fusion Decoding Using a Multi-Scale Parallel Convolutional Network with Attention Mechanism by Tang, Xianlun, Qi, Yidan, Zhang, Jing, Liu, Ke, Tian, Yin, Gao, Xinbo

“…Electroencephalography (EEG) and surface electromyography (sEMG) have been widely used in the rehabilitation training of motor function. However, EEG signals…”
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Application of Bidirectional Recurrent Neural Network Combined With Deep Belief Network in Short-Term Load Forecasting by Tang, Xianlun, Dai, Yuyan, Liu, Qing, Dang, Xiaoyuan, Xu, Jin

“…The importance of conducting potential analysis of load data and ensuring the effectiveness of feature selection cannot be overstated when it comes to…”
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On the Disturbance Rejection Control of Flexible-joint Robot: A GPIO-based Approach by Wang, Huiming, Zhang, Yang, Chen, Xiaolei, Tang, Xianlun, Chen, I-Ming

“…A robust disturbance rejection control scheme is addressed for the trajectory tracking problem of a flexible-joint robot (FJR). The system is always severely…”
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Multi-Focus Image Fusion Method Based on Multi-Scale Decomposition of Information Complementary by Wan, Hui, Tang, Xianlun, Zhu, Zhiqin, Li, Weisheng

“…Multi-focus image fusion is an important method used to combine the focused parts from source multi-focus images into a single full-focus image. Currently, to…”
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Prediction of silicon content in hot metal using support vector regression based on chaos particle swarm optimization by Tang, Xianlun, Zhuang, Ling, Jiang, Changjiang

“…The prediction of silicon content in hot metal has been a major study subject as one of the most important means for the monitoring state in ferrous metallurgy…”
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Improved Stretchable and Sensitive Fe Nanowire-Based Strain Sensor by Optimizing Areal Density of Nanowire Network by Li, Rui, Gou, Xin, Li, Xinyan, Wang, Hainuo, Ruan, Haibo, Xiong, Yuting, Tang, Xianlun, Li, Yuanyuan, Yang, Ping-an

“…Flexible strain sensors, when considering high sensitivity and a large strain range, have become a key requirement for current robotic applications. However,…”
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Multi-Focus Color Image Fusion Based on Quaternion Multi-Scale Singular Value Decomposition by Wan, Hui, Tang, Xianlun, Zhu, Zhiqin, Xiao, Bin, Li, Weisheng

“…Most existing multi-focus color image fusion methods based on multi-scale decomposition consider three color components separately during fusion, which leads…”
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Dynamic pruning group equivariant network for motor imagery EEG recognition by Tang, Xianlun, Zhang, Wei, Wang, Huiming, Wang, Tianzhu, Tan, Cong, Zou, Mi, Xu, Zihui

“…The decoding of the motor imaging electroencephalogram (MI-EEG) is the most critical part of the brain-computer interface (BCI) system. However, the inherent…”
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Localization for V2X communication with noisy distance measurement by Javed, Iram, Tang, Xianlun, Saleem, Muhammad Asim, Javed, Ashir, Zia, Muhammad Azam, Shoukat, Ijaz Ali

“…Mobile sensor network localization is a growing research topic after IEEE 802.15.4 specified the procedure of low-rate wireless personal area networks…”
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Motor imagery EEG recognition based on conditional optimization empirical mode decomposition and multi-scale convolutional neural network by Tang, Xianlun, Li, Wei, Li, Xingchen, Ma, Weichang, Dang, Xiaoyuan

“…•The EMD algorithm is improved by using two conditions to select IMFs.•The improved EMD (CEMD) algorithm is used to reduce the noise of EEG signals.•An EEG…”
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Novel state of charge estimation method of containerized Lithium–Ion battery energy storage system based on deep learning by Zou, Mi, Wang, Jianglin, Yan, Dong, Li, Yanjun, Tang, Xianlun

“…State of charge (SOC) is a critical indicator for lithium–ion battery energy storage system. However, model-driven SOC estimation is challenging due to the…”
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FB-EEGNet: A fusion neural network across multi-stimulus for SSVEP target detection by Yao, Huiming, Liu, Ke, Deng, Xin, Tang, Xianlun, Yu, Hong

“…Steady-state visual evoked potential (SSVEP) is a prevalent paradigm of brain-computer interface (BCI). Recently, deep neural networks (DNNs) have been…”
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Motor imagery EEG recognition with KNN-based smooth auto-encoder by Tang, Xianlun, Wang, Ting, Du, Yiming, Dai, Yuyan

“…•We devised a novel model, KNN-based smooth auto-encoder, to achieve accurate recognition of motor imaging EEG signals.•K-SAE construct a new input and learns…”
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Accurate transformer equivalent circuit for percentage differential protection simulation under DC bias by Zou, Mi, Yang, Miaomiao, Wang, Zihan, Yan, Dong, Tang, Xianlun

“…•Accurate transformer equivalent circuit for PDP simulation under DC bias is proposed in this study. The main contributions of this paper include:•The proposed…”
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Continuous output feedback sliding mode control for underactuated flexible-joint robot by Wang, Huiming, Zhang, Zhize, Tang, Xianlun, Zhao, Zhenhua, Yan, Yunda

“…•Our control strategy endows the FJR systems with high-precision tracking and disturbance rejection performance.•Only requires link side position measurements…”
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Multi-scale channel importance sorting and spatial attention mechanism for retinal vessels segmentation by Tang, Xianlun, Zhong, Bing, Peng, Jiangping, Hao, Bohui, Li, Jie

“…Retinal Vessels segmentation is an important procedure for detecting and diagnosing a variety of pathological diseases. However, the inherent complex…”
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Robust Finite-Time Control for DC-DC Buck Converter With Inductor Current Constraint by Wang, Huiming, Zhang, Zhize, Weng, Ching-Yen, Tang, Xianlun

“…This article investigates the voltage regulation of a dc-dc buck converter with the current constraint, which requires that the inductor current be held within…”
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Selective spatiotemporal features learning for dynamic gesture recognition by Tang, Xianlun, Yan, Zhenfu, Peng, Jiangping, Hao, Bohui, Wang, Huiming, Li, Jie

“…•3D convolutional neural networks can learn spatial–temporal features directly.•Convolutional LSTM is suitable to encode long-term temporal information.•The…”
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