CASIA OpenIR

浏览/检索结果: 共24条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
A Pressure-Based High-Quality Wrist Pulse Measurement System With an Application in Emotion Analysis 期刊论文
IEEE SENSORS JOURNAL, 2023, 卷号: 23, 期号: 18, 页码: 21821-21831
作者:  Liu, Zeyu;  Cheng, Long;  Li, Zhengwei
收藏  |  浏览/下载:75/0  |  提交时间:2023/12/21
Emotion analysis  photoelectric effect  pressure sensor  pulse  pulse wave assessment  wearable devices  
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:  Chai, Jiajun;  Zhu, Yuanheng;  Zhao, Dongbin
Adobe PDF(2469Kb)  |  收藏  |  浏览/下载:51/0  |  提交时间:2023/11/16
Large-scale multiagent  neighboring communication  reinforcement learning (RL)  variational information flow  
XANet: An Efficient Remote Sensing Image Segmentation Model Using Element-Wise Attention Enhancement and Multi-Scale Attention Fusion 期刊论文
REMOTE SENSING, 2023, 卷号: 15, 期号: 1, 页码: 25
作者:  Liang, Chenbin;  Xiao, Baihua;  Cheng, Bo;  Dong, Yunyun
Adobe PDF(63859Kb)  |  收藏  |  浏览/下载:355/25  |  提交时间:2023/02/22
semantic segmentation  attention mechanism  cross-attention  feature fusion  
Subgraph-aware graph structure revision for spatial-temporal graph modeling 期刊论文
NEURAL NETWORKS, 2022, 卷号: 154, 页码: 190-202
作者:  Wang, Yuhu;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1781Kb)  |  收藏  |  浏览/下载:172/1  |  提交时间:2023/01/09
Graph structure learning  Graph neural network  Spatial-temporal graph modeling  
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction 期刊论文
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:  Ye, Xue;  Fang, Shen;  Sun, Fang;  Zhang, Chunxia;  Xiang, Shiming
Adobe PDF(3491Kb)  |  收藏  |  浏览/下载:247/32  |  提交时间:2022/09/19
Traffic prediction  Spatial-temporal modeling  Meta-learning  Attention mechanism  Deep learning  
ESTNet: Embedded Spatial-Temporal Network for Modeling Traffic Flow Dynamics 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:  Luo, Guiyang;  Zhang, Hui;  Yuan, Quan;  Li, Jinglin;  Wang, Fei-Yue
收藏  |  浏览/下载:202/0  |  提交时间:2022/07/25
Roads  Correlation  Feature extraction  Sensors  Deep learning  Convolution  Sensor phenomena and characterization  Traffic forecasting  graph convolutional network  spatial-temporal networks  
Memory-Modulated Transformer Network for Heterogeneous Face Recognition 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2022, 卷号: 17, 页码: 2095-2109
作者:  Luo, Mandi;  Wu, Haoxue;  Huang, Huaibo;  He, Weizan;  He, Ran
Adobe PDF(4712Kb)  |  收藏  |  浏览/下载:368/129  |  提交时间:2022/07/25
Face recognition  Task analysis  Transformers  Encoding  Feature extraction  Image recognition  Memory modules  Heterogeneous face recognition  style transformer  memory network  
SE-GRU: Structure Embedded Gated Recurrent Unit Neural Networks for Temporal Link Prediction 期刊论文
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 卷号: 9, 期号: 4, 页码: 2495-2509
作者:  Yin, Yanting;  Wu, Yajing;  Yang, Xuebing;  Zhang, Wensheng;  Yuan, Xiaojie
收藏  |  浏览/下载:326/0  |  提交时间:2022/07/25
Time-frequency analysis  Feature extraction  Predictive models  Optimization  Topology  Measurement  Logic gates  Temporal link prediction  dynamic graphs  graph embedding  neural networks  
A Brain-Inspired Approach for Probabilistic Estimation and Efficient Planning in Precision Physical Interaction 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2022, 页码: 15
作者:  Xing, Dengpeng;  Yang, Yiming;  Zhang, Tielin;  Xu, Bo
Adobe PDF(2960Kb)  |  收藏  |  浏览/下载:207/4  |  提交时间:2022/06/10
Task analysis  Robots  Force  Planning  Mathematical models  Brain modeling  Biology  Brain-inspired structure  precision physical interaction  spiking neural networks (SNNs)  
A Novel Deep Learning Bi-GRU-I Model for Real-Time Human Activity Recognition Using Inertial Sensors 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 6, 页码: 6164-6174
作者:  Tong, Lina;  Ma, Hanghang;  Lin, Qianzhi;  He, Jiaji;  Peng, Liang
收藏  |  浏览/下载:183/0  |  提交时间:2022/06/10
Sensors  Feature extraction  Deep learning  Inertial sensors  Data mining  Convolutional neural networks  Accelerometers  Human activity recognition (HAR)  inertial sensor  deep learning  Bi-GRU  inception architecture