English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 14 Help

Selected(0)Clear Items/Page:    Sort:
A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction Journal article
Xiao, Ling, An, Ruofan, Zhang, Xue. A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction[J]. Processes, 2024, 12(4), 793.
Authors:  Xiao, Ling;  An, Ruofan;  Zhang, Xue
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.8/3.0 | Submit date：2024/05/16
Deep Learning Model  Multiple Features  Power Load Forecasting  Transfer Learning  
Global-Local Features Reconstruction Network for FDD Massive MIMO CSI Feedback Journal article
Tan, Yuyang, Tan, Weiqiang, Guo, Jiajia, Shi, Zheng. Global-Local Features Reconstruction Network for FDD Massive MIMO CSI Feedback[J]. IEEE Wireless Communications Letters, 2024, 13(8), 2255-2259.
Authors:  Tan, Yuyang;  Tan, Weiqiang;  Guo, Jiajia;  Shi, Zheng
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:4.6/4.9 | Submit date：2024/07/04
Csi Feedback  Deep Learning  Global-local Features  Massive Mimo  
Comprehensive Competition Mechanism in Palmprint Recognition Journal article
Yang, Ziyuan, Huangfu, Huijie, Leng, Lu, Zhang, Bob, Teoh, Andrew Beng Jin, Zhang, Yi. Comprehensive Competition Mechanism in Palmprint Recognition[J]. IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2023, 18, 5160-5170.
Authors:  Yang, Ziyuan;  Huangfu, Huijie;  Leng, Lu;  Zhang, Bob;  Teoh, Andrew Beng Jin; et al.
Favorite | TC[WOS]:15 TC[Scopus]:17  IF:6.3/7.3 | Submit date：2024/02/23
Biometric Recognition  Comprehensive Competition Mechanism  Deep Learning  Palmprint Recognition  Texture Features  
A Novel Fault Diagnosis Method for Rotor-Bearing System Based on Instantaneous Orbit Fusion Feature Image and Deep Convolutional Neural Network Journal article
Cui, Xiaolong, Wu, Yifan, Zhang, Xiaoyuan, Huang, Jie, Wong, Pak Kin, Li, Chaoshun. A Novel Fault Diagnosis Method for Rotor-Bearing System Based on Instantaneous Orbit Fusion Feature Image and Deep Convolutional Neural Network[J]. IEEE/ASME Transactions on Mechatronics, 2023, 28(2), 0113-1024.
Authors:  Cui, Xiaolong;  Wu, Yifan;  Zhang, Xiaoyuan;  Huang, Jie;  Wong, Pak Kin; et al.
Favorite | TC[WOS]:12 TC[Scopus]:15  IF:6.1/6.2 | Submit date：2023/01/30
Convolution  Deep Convolutional Network  Fault Diagnosis  Fault Diagnosis  Feature Extraction  Fusion Feature Images  Instantaneous Orbit Features (Iof)  Machinery  Mechatronics  Orbits  Rotor-bearing System  Transfer Learning (Tl)  Vibrations  
Deep learning-extracted CT imaging phenotypes predict response to total resection in colorectal cancer Journal article
Pan, Xiang, Cong, He, Wang, Xiaolei, Zhang, Heng, Ge, Yuxi, Hu, Shudong. Deep learning-extracted CT imaging phenotypes predict response to total resection in colorectal cancer[J]. Acta Radiologica, 2023, 64(5), 1783-1791.
Authors:  Pan, Xiang;  Cong, He;  Wang, Xiaolei;  Zhang, Heng;  Ge, Yuxi; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:1.1/1.4 | Submit date：2023/06/05
Colorectal Cancer  Computed Tomography  Deep Learning  Overall Survival  Self-learning High-throughput Features  
Application of Broad Learning System for Image Classification Based on Deep Features Conference paper
Zhang, Dan, Zuo, Yi, Chen, Philip C.L., Wang, Chiye, Li, Teishan. Application of Broad Learning System for Image Classification Based on Deep Features[C], 2021, 464-471.
Authors:  Zhang, Dan;  Zuo, Yi;  Chen, Philip C.L.;  Wang, Chiye;  Li, Teishan
Favorite | TC[Scopus]:0 | Submit date：2022/05/13
Broad Learning  Deep Features  Image Classification  
Visualizing Deep Learning-based Radio Modulation Classifier Journal article
Huang Liang, Zhang You, Pan Weijian, Chen Jinyin, Qian Liping, Wu Yuan. Visualizing Deep Learning-based Radio Modulation Classifier[J]. IEEE Transactions on Cognitive Communications and Networking, 2020, 7(1), 47-58.
Authors:  Huang Liang;  Zhang You;  Pan Weijian;  Chen Jinyin;  Qian Liping; et al.
Favorite | TC[WOS]:31 TC[Scopus]:39  IF:7.4/6.9 | Submit date：2021/03/11
Deep Learning  Modulation  Classification  Visualization  Radio Features  
Unsupervised Learning 3-D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy- Journal article
Han, Z. Z., Liu, Z. B., Han, J. W., Vong, C. M., Bu, S. H., Chen, C. L. P.. Unsupervised Learning 3-D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy-[J]. IEEE Transactions on Cybernetics (SCI-E) (Accepted for Publication), 2019, 2168-2267.
Authors:  Han, Z. Z.;  Liu, Z. B.;  Han, J. W.;  Vong, C. M.;  Bu, S. H.; et al.
Favorite |  | Submit date：2022/08/09
3-D local features  3-D voxelization  deep learning  stacked sparse autoencoder (SSAE)  unsupervised feature learning  
Unsupervised Learning 3D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy Journal article
Zhizhong Han, Zhenbao Liu, Junwei Han, Chi-Man Vong, Shuhui Bu, C. L. Philip Chen. Unsupervised Learning 3D Local Feature from Raw Voxels based on A Novel Permutation Voxelization Strategy[J]. IEEE TRANSACTIONS ON CYBERNETIC, 2019, 49(2), 481 - 494.
Authors:  Zhizhong Han;  Zhenbao Liu;  Junwei Han;  Chi-Man Vong;  Shuhui Bu; et al.
Favorite | TC[WOS]:33   IF:9.4/10.3 | Submit date：2019/04/29
3-d Local Features  3-d Voxelization  Deep Learning  Stacked Sparse Autoencoder (Ssae)  Unsupervised Feature Learning  
Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy Journal article
Han Z., Liu Z., Han J., Vong C.-M., Bu S., Chen C.L.P.. Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy[J]. IEEE Transactions on Cybernetics, 2019, 49(2), 481-494.
Authors:  Han Z.;  Liu Z.;  Han J.;  Vong C.-M.;  Bu S.; et al.
Favorite | TC[WOS]:33 TC[Scopus]:33  IF:9.4/10.3 | Submit date：2019/02/11
3-d Local Features  3-d Voxelization  Deep Learning  Stacked Sparse Autoencoder (Ssae)  Unsupervised Feature Learning