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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
Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density Pilots
Journal article
Zhou, Binggui, Yang, Xi, Ma, Shaodan, Gao, Feifei, Yang, Guanghua. Pay Less But Get More: A Dual-Attention-based Channel Estimation Network for Massive MIMO Systems with Low-Density Pilots[J]. IEEE Transactions on Wireless Communications, 2024, 24(6), 6061-6076.
Authors:
Zhou, Binggui
;
Yang, Xi
;
Ma, Shaodan
;
Gao, Feifei
;
Yang, Guanghua
Favorite
|
TC[WOS]:
1
TC[Scopus]:
1
IF:
8.9
/
8.6
|
Submit date:2024/02/22
Low-overhead Channel Estimation
Channel Estimation
Antenna Arrays
Attention Mechanism
Deep Learning
Estimation
Feature Extraction
Massive Mimo
Massive Mimo
Training
Transfer Learning
Wireless Communication
Semi-supervised transfer learning with hierarchical self-regularization
Journal article
Li, Xingjian, Abuduweili, Abulikemu, Shi, Humphrey, Yang, Pengkun, Dou, Dejing, Xiong, Haoyi, Xu, Chengzhong. Semi-supervised transfer learning with hierarchical self-regularization[J]. Pattern Recognition, 2023, 144, 109831.
Authors:
Li, Xingjian
;
Abuduweili, Abulikemu
;
Shi, Humphrey
;
Yang, Pengkun
;
Dou, Dejing
; et al.
Favorite
|
TC[WOS]:
6
TC[Scopus]:
8
IF:
7.5
/
7.6
|
Submit date:2023/09/21
Adaptive Sample Selection
Deep Learning
Fine-tuning
Hierarchical Consistency
Semi-supervised Learning
Transfer Learning
Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial network
Journal article
Hao Sun, Fanghu Wang, Yuling Yang, Xiaotong Hong, Weiping Xu, Shuxia Wang, Greta S. P. Mok, Lijun Lu. Transfer learning-based attenuation correction for static and dynamic cardiac PET using a generative adversarial network[J]. European Journal of Nuclear Medicine and Molecular Imaging, 2023, 50(12), 3630-3646.
Authors:
Hao Sun
;
Fanghu Wang
;
Yuling Yang
;
Xiaotong Hong
;
Weiping Xu
; et al.
Favorite
|
TC[WOS]:
3
TC[Scopus]:
3
IF:
8.6
/
8.2
|
Submit date:2023/08/03
Attenuation Correction
Deep Learning
Myocardial Blood Flow
Myocardial Perfusion Pet
Transfer Learning
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]:
9
TC[Scopus]:
9
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
DC-DC Buck circuit fault diagnosis with insufficient state data based on deep model and transfer strategy
Journal article
Jia, Zhen, Liu, Zhenbao, Vong, Chi Man, Wang, Shengdong, Cai, Yongyi. DC-DC Buck circuit fault diagnosis with insufficient state data based on deep model and transfer strategy[J]. Expert Systems with Applications, 2023, 213, 118918.
Authors:
Jia, Zhen
;
Liu, Zhenbao
;
Vong, Chi Man
;
Wang, Shengdong
;
Cai, Yongyi
Favorite
|
TC[WOS]:
10
TC[Scopus]:
15
IF:
7.5
/
7.6
|
Submit date:2023/04/03
Dc-dc Buck Circuit
Fault Diagnosis
Deep Elm-ae Model
Kernel Method
Transfer Learning
A Deep Neural Network for Crossing-City POI Recommendations
Journal article
Li, Dichao, Gong, Zhiguo. A Deep Neural Network for Crossing-City POI Recommendations[J]. IEEE Transactions on Knowledge and Data Engineering, 2022, 34(8), 3536-3548.
Authors:
Li, Dichao
;
Gong, Zhiguo
Favorite
|
TC[WOS]:
16
TC[Scopus]:
17
IF:
8.9
/
8.8
|
Submit date:2022/08/02
Crossing-city
Deep Learning
Density-based Resampling
Poi Recommendation
Transfer Learning
Instance-based deep transfer learning with attention for stock movement prediction
Journal article
He, Qi-Qiao, Siu, Shirley Weng In, Si, Yain-Whar. Instance-based deep transfer learning with attention for stock movement prediction[J]. APPLIED INTELLIGENCE, 2022, 53(6), 6887–6908.
Authors:
He, Qi-Qiao
;
Siu, Shirley Weng In
;
Si, Yain-Whar
Favorite
|
TC[WOS]:
8
TC[Scopus]:
9
IF:
3.4
/
3.9
|
Submit date:2022/07/24
Instance-based
Deep Transfer Learning
Stock Movement Prediction
Attention Mechanism
DECOMPOSITION AND COMPOSITION OF DEEP CONVOLUTIONAL NEURAL NETWORKS AND TRAINING ACCELERATION VIA SUB-NETWORK TRANSFER LEARNING
Journal article
Gu, Linyan, Zhang, Wei, Liu, Jia, Cai, Xiao Chuan. DECOMPOSITION AND COMPOSITION OF DEEP CONVOLUTIONAL NEURAL NETWORKS AND TRAINING ACCELERATION VIA SUB-NETWORK TRANSFER LEARNING[J]. Electronic Transactions on Numerical Analysis, 2022, 56, 157-186.
Authors:
Gu, Linyan
;
Zhang, Wei
;
Liu, Jia
;
Cai, Xiao Chuan
Favorite
|
TC[WOS]:
2
TC[Scopus]:
4
IF:
0.8
/
1.0
|
Submit date:2022/05/13
DeComposition And Composition
Deep Convolutional Neural Networks
Domain Decomposition
Parallel Training
Transfer Learning
Joint scheduling design in wireless powered MEC IoT networks aided by reconfigurable intelligent surface
Conference paper
Aichen Li, Yang Liu, Ming Li, Qingqing Wu, Jun Zhao. Joint scheduling design in wireless powered MEC IoT networks aided by reconfigurable intelligent surface[C], 2021, 159-164.
Authors:
Aichen Li
;
Yang Liu
;
Ming Li
;
Qingqing Wu
;
Jun Zhao
Favorite
|
TC[Scopus]:
18
|
Submit date:2021/11/22
Mobile Edge Computing (Mec)
Econfigurable Intelligent Surfaces (Ris)
Deep Reinforcement Learning (Drl)
Wireless Power Transfer (Wpt)