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Real-Time Surface Identification System for Variable Walking Speeds of Biped Robots Journal article
Luo, Aiwen, Bhattacharya, Sandip, Miura-Mattausch, Mitiko, Zhou, Yicong, Mattausch, Hans J.. Real-Time Surface Identification System for Variable Walking Speeds of Biped Robots[J]. IEEE Embedded Systems Letters, 2024, 16(2), 130-133.
Authors:  Luo, Aiwen;  Bhattacharya, Sandip;  Miura-Mattausch, Mitiko;  Zhou, Yicong;  Mattausch, Hans J.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:1.7/1.6 | Submit date：2024/02/23
Biped Robot  Force Sensor  Real-time Support Vector Machine (Svm)  Surface Identification  Variable Walking Speed  
Brain rhythm sequencing and its application for EEG-based emotion recognition Conference paper
Jia Wen Li, Shovan Barma, Sio Hang Pun, Mang I Vai, Feng Wan, Wai Sun Liu, Peng Un Mak. Brain rhythm sequencing and its application for EEG-based emotion recognition[C]:IEEE, 2021.
Authors:  Jia Wen Li;  Shovan Barma;  Sio Hang Pun;  Mang I Vai;  Feng Wan; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/12/08
Brain Rhythm Sequencing  Electroencephalography (Eeg)  Emotion Recognition  Optimal Feature  Support Vector Machine (Svm)  
A Method for Diagnosing the State of Insulation Paper in Traction Transformer Based on FDS Test and CS-DQ Algorithm Journal article
Zhou, Lijun, Wang, Dongyang, Cui, Yi, Zhang, Liqing, Wang, Lujia, Guo, Lei. A Method for Diagnosing the State of Insulation Paper in Traction Transformer Based on FDS Test and CS-DQ Algorithm[J]. IEEE Transactions on Transportation Electrification, 2021, 7(1), 91-103.
Authors:  Zhou, Lijun;  Wang, Dongyang;  Cui, Yi;  Zhang, Liqing;  Wang, Lujia; et al.
Favorite | TC[WOS]:14 TC[Scopus]:17  IF:7.2/7.9 | Submit date：2021/12/07
Cuckoo Search (Cs) Algorithm Optimized By The Differential Evolution (De) Algorithm And The Quadratic Interpolation (Qi) Method (Cs-dq Algorithm)  Frequency-domain Dielectric Spectrum (Fds) Test  High-speed Railway  Insulation Diagnosis  Multiclass Least-squares Support Vector Machine (Ls-svm) Model  Traction Transformer  
Classification of Complex Power Quality Disturbances Using Optimized S-Transform and Kernel SVM Journal article
Tang, Qiu, Qiu, Wei, Zhou, Yicong. Classification of Complex Power Quality Disturbances Using Optimized S-Transform and Kernel SVM[J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67(11), 9715-9723.
Authors:  Tang, Qiu;  Qiu, Wei;  Zhou, Yicong
Favorite | TC[WOS]:82 TC[Scopus]:105  IF:7.5/8.0 | Submit date：2021/12/06
Kernel Support Vector Machine (Svm)  Nonlinearly Mixed Power Quality Disturbance (Pqd)  Optimized S-transform (Ost)  Time-frequency Resolution  
A Fast On-Chip SVM-Training System with Dual-Mode Configurable Pipelines and MSMO Scheduler Journal article
Feng, Lichen, Li, Zunchao, Wang, Yuanfa, Wang, Chuang. A Fast On-Chip SVM-Training System with Dual-Mode Configurable Pipelines and MSMO Scheduler[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2019, 66(11), 4230-4241.
Authors:  Feng, Lichen;  Li, Zunchao;  Wang, Yuanfa;  Wang, Chuang
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:5.2/4.5 | Submit date：2022/05/17
Dual-mode Configurable Pipelines (Dcp)  On-chip Training  Sequential Minimal Optimization (Smo)  Support Vector Machine (Svm)  
The impact of data normalization on stock market prediction: Using SVM and technical indicators Conference paper
Jiaqi Pan, Yan Zhuang, Simon Fong. The impact of data normalization on stock market prediction: Using SVM and technical indicators[C], 2016, 72-88.
Authors:  Jiaqi Pan;  Yan Zhuang;  Simon Fong
Favorite | TC[Scopus]:47 | Submit date：2019/02/13
Stock Market Prediction  Technical Indicator  Support Vector Machine (Svm)  Data Normalization  
Prediction of redox-sensitive cysteines using sequential distance and other sequence-based features Journal article
Sun, Ming-an, Zhang, Qing, Wang, Yejun, Ge, Wei, Guo, Dianjing. Prediction of redox-sensitive cysteines using sequential distance and other sequence-based features[J]. BMC BIOINFORMATICS, 2016, 17.
Authors:  Sun, Ming-an;  Zhang, Qing;  Wang, Yejun;  Ge, Wei;  Guo, Dianjing
Favorite | TC[WOS]:18 TC[Scopus]:14  IF:2.9/3.6 | Submit date：2018/12/10
Reactive Oxygen Species  Redox-sensitive Cysteine  Post-translational Modification  Support Vector Machine  Svm-based Recursive Feature Elimination  
Region-Kernel-Based Support Vector Machines for Hyperspectral Image Classification Journal article
Peng Jiangtao, Zhou Yicong, Chen C.L.P.. Region-Kernel-Based Support Vector Machines for Hyperspectral Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(9), 4810 - 4824.
Authors:  Peng Jiangtao;  Zhou Yicong;  Chen C.L.P.
Favorite | TC[WOS]:131 TC[Scopus]:146 | Submit date：2018/10/30
Composite Kernel  Hyperspectral Image (Hsi) Classification  Region Kernel  Support Vector Machine (Svm)  
The Generalization Ability of Online SVM Classification Based on Markov Sampling Journal article
Jie Xu, Yuan Yan Tang, Bin Zou, Zongben Xu, Luoqing Li, Yang Lu. The Generalization Ability of Online SVM Classification Based on Markov Sampling[J]. IEEE Transactions on Neural Networks and Learning Systems, 2015, 26(3), 628-639.
Authors:  Jie Xu;  Yuan Yan Tang;  Bin Zou;  Zongben Xu;  Luoqing Li; et al.
Favorite | TC[WOS]:38 TC[Scopus]:43  IF:10.2/10.4 | Submit date：2019/04/30
Generalization Ability  Markov Sampling  Online Support Vector Machine (Svm) Classification  Uniformly Ergodic Markov Chain (U.e.m.c.)  
Predicting minority class for suspended particulate matters level by extreme learning machine Journal article
Vong, C. M., Ip, W. F., Wong, P.K., Chiu, C. C.. Predicting minority class for suspended particulate matters level by extreme learning machine[J]. Neurocomputing (SCI-E), 2014, 136-144.
Authors:  Vong, C. M.;  Ip, W. F.;  Wong, P.K.;  Chiu, C. C.
Favorite |   IF:5.5/5.5 | Submit date：2022/08/09
PM10  Extreme learning machine (ELM)  Support vector machine (SVM)  imbalance problem  prior duplication