UM

Browse/Search Results:  1-10 of 31 Help

Selected(0)Clear Items/Page:    Sort:
An insight into the nanoarchitecture of electrode materials on the performance of supercapacitors Journal article
Girirajan, Maheshwaran, Bojarajan, Arjun Kumar, Pulidindi, Indra Neel, Hui, Kwun Nam, Sangaraju, Sambasivam. An insight into the nanoarchitecture of electrode materials on the performance of supercapacitors[J]. Coordination Chemistry Reviews, 2024, 518, 216080.
Authors:  Girirajan, Maheshwaran;  Bojarajan, Arjun Kumar;  Pulidindi, Indra Neel;  Hui, Kwun Nam;  Sangaraju, Sambasivam
Favorite | TC[WOS]:35 TC[Scopus]:39  IF:20.3/19.9 | Submit date:2024/08/05
Cycle Stability  Dimensionality  Electrode Materials  Energy Density  Nanoarchitecture  Power Density  Specific Capacitance  Supercapacitors  
Robust Discriminative t-Linear Subspace Learning for Image Feature Extraction Journal article
Liu, Kangdao, Xiao, Xiaolin, You, Jinkun, Zhou, Yicong. Robust Discriminative t-Linear Subspace Learning for Image Feature Extraction[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024, 34(8), 7315-7327.
Authors:  Liu, Kangdao;  Xiao, Xiaolin;  You, Jinkun;  Zhou, Yicong
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:8.3/7.1 | Submit date:2024/05/16
Dimensionality Reduction  Image Feature Extraction  Subspace Learning  T-product  
Granular ball-based label enhancement for dimensionality reduction in multi-label data Journal article
Wenbin Qian, Wenyong Ruan, Yihui Li, Jintao Huang. Granular ball-based label enhancement for dimensionality reduction in multi-label data[J]. Applied Intelligence, 2023, 53(20), 24008–24033.
Authors:  Wenbin Qian;  Wenyong Ruan;  Yihui Li;  Jintao Huang
Favorite | TC[WOS]:5 TC[Scopus]:6  IF:3.4/3.9 | Submit date:2023/08/03
Dimensionality Reduction  Granular Computing  Label Enhancement  Linear Discriminant Analysis  Multi-label Data  
A survey on multi-label feature selection from perspectives of label fusion Journal article
Qian, Wenbin, Huang, Jintao, Xu, Fankang, Shu, Wenhao, Ding, Weiping. A survey on multi-label feature selection from perspectives of label fusion[J]. Information Fusion, 2023, 100, 101948.
Authors:  Qian, Wenbin;  Huang, Jintao;  Xu, Fankang;  Shu, Wenhao;  Ding, Weiping
Favorite | TC[WOS]:30 TC[Scopus]:29  IF:14.7/16.1 | Submit date:2023/09/21
Dimensionality Reduction  Label Correlation  Label Enhancement  Label Fusion  Multi-label Feature Selection  Multi-label Learning  
Why Do Regular and Reversed Items Load on Separate Factors? Response Difficulty vs. Item Extremity Journal article
Chester Chun Seng Kam. Why Do Regular and Reversed Items Load on Separate Factors? Response Difficulty vs. Item Extremity[J]. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT, 2023, 83(6), 1085-1112.
Authors:  Chester Chun Seng Kam
Favorite | TC[WOS]:12 TC[Scopus]:10  IF:2.1/4.1 | Submit date:2023/01/08
Reverse-keyed Items  Dimensionality  Factor Analysis  
Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering Journal article
Zhang, Yongshan, Wang, Yang, Chen, Xiaohong, Jiang, Xinwei, Zhou, Yicong. Spectral-Spatial Feature Extraction With Dual Graph Autoencoder for Hyperspectral Image Clustering[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 32(12), 8500-8511.
Authors:  Zhang, Yongshan;  Wang, Yang;  Chen, Xiaohong;  Jiang, Xinwei;  Zhou, Yicong
Favorite | TC[WOS]:36 TC[Scopus]:48  IF:8.3/7.1 | Submit date:2023/01/30
Autoencoder  Dimensionality Reduction  Feature Extraction  Graph Convolution  Hyperspectral Imagery  
Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction Journal article
Lu, Xiaohuan, Long, Jiang, Wen, Jie, Fei, Lunke, Zhang, Bob, Xu, Yong. Locality preserving projection with symmetric graph embedding for unsupervised dimensionality reduction[J]. PATTERN RECOGNITION, 2022, 131, 108844.
Authors:  Lu, Xiaohuan;  Long, Jiang;  Wen, Jie;  Fei, Lunke;  Zhang, Bob; et al.
Favorite | TC[WOS]:30 TC[Scopus]:33  IF:7.5/7.6 | Submit date:2022/08/02
Dimensionality Reduction  Feature Extraction  Graph Embedding  Unsupervised Learning  
Summation pollution of principal component analysis and an improved algorithm for location sensitive data Journal article
Li, Jingwei, Cai, Xiao Chuan. Summation pollution of principal component analysis and an improved algorithm for location sensitive data[J]. Numerical Linear Algebra with Applications, 2021, 28(5), e2370.
Authors:  Li, Jingwei;  Cai, Xiao Chuan
Favorite | TC[WOS]:5 TC[Scopus]:5  IF:1.8/1.8 | Submit date:2021/12/08
Dimensionality Reduction  Domain Decomposition  Image Recognition  Parallel Computing  Principle Component Analysis  Subspace Optimization  
A rasch analysis of the irrational procrastination scale (IPS) Journal article
Shaw, Amy, Zhang, Jennifer J.. A rasch analysis of the irrational procrastination scale (IPS)[J]. Frontiers in Psychology, 2021, 11, 615341.
Authors:  Shaw, Amy;  Zhang, Jennifer J.
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:2.6/3.3 | Submit date:2022/05/13
Dimensionality  Irrational Procrastination Scale  Measurement  Procrastination  Rasch Analysis  Rating Scale Model  
Factor structure of the attitudes toward cheating scale: An exploratory structural equation modeling analysis Journal article
Chester Chun Seng Kam, Ming Tak Hue, Hoi Yan Cheung, Stephen D. Risavy. Factor structure of the attitudes toward cheating scale: An exploratory structural equation modeling analysis[J]. Current Psychology, 2020, 39(5), 1843-1852.
Authors:  Chester Chun Seng Kam;  Ming Tak Hue;  Hoi Yan Cheung;  Stephen D. Risavy
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:2.5/2.6 | Submit date:2020/11/10
Attitudes Toward Cheating  Exploratory Structural Equation Modeling  Factor Analysis  Factor Structure  Scale Dimensionality  Theory Of Planned Behaviour