English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 34 Help

Selected(0)Clear Items/Page:    Sort:
Spatio-temporal attention based collaborative local–global learning for traffic flow prediction Journal article
Chi, Haiyang, Lu, Yuhuan, Xie, Can, Ke, Wei, Chen, Bidong. Spatio-temporal attention based collaborative local–global learning for traffic flow prediction[J]. Engineering Applications of Artificial Intelligence, 2025, 139, 109575.
Authors:  Chi, Haiyang;  Lu, Yuhuan;  Xie, Can;  Ke, Wei;  Chen, Bidong
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.5/7.4 | Submit date：2025/01/22
Traffic Flow Prediction  Spatio-temporal Correlation  Local–global Spatio-temporal Feature  Graph Convolutional Network  Spatio-temporal Attention  
LID-Net: A lightweight image dehazing network for automatic driving vision systems Journal article
Tao, Fazhan, Chen, Qi, Fu, Zhigao, Zhu, Longlong, Ji, Baofeng. LID-Net: A lightweight image dehazing network for automatic driving vision systems[J]. Digital Signal Processing: A Review Journal, 2024, 154, 104673.
Authors:  Tao, Fazhan;  Chen, Qi;  Fu, Zhigao;  Zhu, Longlong;  Ji, Baofeng
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:2.9/2.9 | Submit date：2024/08/05
Attention Mechanism  Automatic Driving  Image Dehazing  Multi-scale Feature  Receptive Field  
Methodology and Experimental Verification for Predicting the Remaining Useful Life of Milling Cutters Based on Hybrid CNN-LSTM-Attention-PSA Journal article
Zhu, Mengge, Zhang, Ji, Bu, Lingfan, Nie, Sen, Bai, Yu, Zhao, Yueqi, Mei, Ning. Methodology and Experimental Verification for Predicting the Remaining Useful Life of Milling Cutters Based on Hybrid CNN-LSTM-Attention-PSA[J]. Machines, 2024, 12(11), 752.
Authors:  Zhu, Mengge;  Zhang, Ji;  Bu, Lingfan;  Nie, Sen;  Bai, Yu; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.1/2.2 | Submit date：2024/12/05
Remaining Useful Life  Cnn-lstm-attention-psa  Multi-channel Feature Extraction  Milling Cutter Wear  
Lightweight Attention Network Based on Fuzzy Logic for Person Re-Identification Conference paper
Yuan, Changmei, Liu, Xuanxuan, Guo, Li, Chen, Long, Chen, C. L.Philip. Lightweight Attention Network Based on Fuzzy Logic for Person Re-Identification[C]:Institute of Electrical and Electronics Engineers Inc., 2024.
Authors:  Yuan, Changmei;  Liu, Xuanxuan;  Guo, Li;  Chen, Long;  Chen, C. L.Philip
Favorite | TC[Scopus]:0 | Submit date：2024/10/10
Fuzzy Logic  Visualization  Pedestrians  Accuracy  Uncertainty  Feature Extraction  Robustness  Lightweight Network  Person Re-identification  Attention Mechanisms  
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]:2 TC[Scopus]:3  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  
Lightweight Context-Aware Network Using Partial-Channel Transformation for Real-Time Semantic Segmentation Journal article
Shi, Min, Lin, Shaowen, Yi, Qingming, Weng, Jian, Luo, Aiwen, Zhou, Yicong. Lightweight Context-Aware Network Using Partial-Channel Transformation for Real-Time Semantic Segmentation[J]. IEEE Transactions on Intelligent Transportation Systems, 2024, 25(7), 7401-7416.
Authors:  Shi, Min;  Lin, Shaowen;  Yi, Qingming;  Weng, Jian;  Luo, Aiwen; et al.
Favorite | TC[WOS]:21 TC[Scopus]:26  IF:7.9/8.3 | Submit date：2024/05/16
Computational Modeling  Context-aware Aggregation  Convolution  Feature Extraction  Partial-channel Transformation  Real-time Semantic Segmentation  Real-time Systems  Reverse Attention  Semantic Segmentation  Semantics  Spatial Attention  Stacking  
Dynamic Focusing Network for Semisupervised Mechanical Fault Diagnosis of Rotating Machinery Journal article
Chen, Hao, Wang, Xian Bo, Li, Jia ming, Yang, Zhi Xin. Dynamic Focusing Network for Semisupervised Mechanical Fault Diagnosis of Rotating Machinery[J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2024.
Authors:  Chen, Hao;  Wang, Xian Bo;  Li, Jia ming;  Yang, Zhi Xin
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:11.7/11.4 | Submit date：2024/07/04
Attention Mechanism  Deep Learning  Fault Diagnosis  Fault Diagnosis  Feature Extraction  Informatics  Machinery  Mutual Information (Mi)  Rotating Machinery  Uncertainty  Vectors  Vibrations  
Attack-invariant attention feature for adversarial defense in hyperspectral image classification Journal article
Shi, Cheng, Liu, Ying, Zhao, Minghua, Pun, Chi Man, Miao, Qiguang. Attack-invariant attention feature for adversarial defense in hyperspectral image classification[J]. Pattern Recognition, 2024, 145, 109955.
Authors:  Shi, Cheng;  Liu, Ying;  Zhao, Minghua;  Pun, Chi Man;  Miao, Qiguang
Favorite | TC[WOS]:6 TC[Scopus]:10  IF:7.5/7.6 | Submit date：2024/02/22
Adversarial Attack  Adversarial Defense  Attack-invariant Attention Feature  Hyperspectral Image Classification  
Multiple-Person Tracking with Criss-Cross Attention and Deep Matching Conference paper
Liu Zhuoyang, ZHANG LIMING. Multiple-Person Tracking with Criss-Cross Attention and Deep Matching[C]:Institute of Electrical and Electronics Engineers Inc., 2023, 455-459.
Authors:  Liu Zhuoyang;  ZHANG LIMING
Favorite | TC[Scopus]:0 | Submit date：2023/12/11
Multi-object Tracking  Criss-cross Attention  Deep Feature  
Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network Journal article
Yan Xiaoan, Yan Wangji, Xu Yadong, Yuen Kaveng. Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network[J]. Mechanical Systems and Signal Processing, 2023, 202, 110664.
Authors:  Yan Xiaoan;  Yan Wangji;  Xu Yadong;  Yuen Kaveng
Adobe PDF | Favorite | TC[WOS]:34 TC[Scopus]:41  IF:7.9/8.0 | Submit date：2023/08/30
Multivariate Feature Mode Decomposition  Multi-attention Fusion Residual Convolutional Neural Network  Multi-sensor Data  Machinery Fault Diagnosis