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BSS-TFNet: Attention-Enhanced Background Signal Suppression Network for Time-Frequency Spectrum in Magnetic Particle Imaging 期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 15
作者:  Wei, Zechen;  Liu, Yanjun;  Zhu, Tao;  Yang, Xin;  Tian, Jie;  Hui, Hui
Adobe PDF(6094Kb)  |  收藏  |  浏览/下载：69/2  |  提交时间：2024/02/22
Magnetic particle imaging  deep learning  self-attention mechanism  time-frequency spectrum  background signal  
Multitask Policy Adversarial Learning for Human-Level Control With Large State Spaces 期刊论文
IEEE Transactions on Industrial Informatics Information, 2019, 卷号: 15, 期号: 4, 页码: 2395-2404
作者:  Wang JP(王军平);  You Kang Shi;  Wen Sheng Zhang;  Ian Thomas;  Shi Hui Duan
Adobe PDF(2547Kb)  |  收藏  |  浏览/下载：122/41  |  提交时间：2023/05/05
Decentralized Autonomous Operations and Organizations in TransVerse: Federated Intelligence for Smart Mobility 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2022, 卷号: 53, 期号: 4, 页码: 2062-2072
作者:  Zhao, Chen;  Dai, Xingyuan;  Lv, Yisheng;  Niu, Jinglong;  Lin, Yilun
Adobe PDF(1921Kb)  |  收藏  |  浏览/下载：244/4  |  提交时间：2023/02/22
Intelligent Transportation Systems (ITS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Cyber–Physical–Social Systems (CPSS)  
Multi-modal spatio-temporal meteorological forecasting with deep neural network 期刊论文
ISPRS Journal of Photogrammetry and Remote Sensing, 2022, 页码: 14
作者:  Xinbang Zhang;  Qizhao Jin;  Tingzhao Yu;  Shiming Xiang;  Qiuming Kuang;  Véronique Prinet;  Chunhong Pan
Adobe PDF(3735Kb)  |  收藏  |  浏览/下载：312/73  |  提交时间：2022/07/01
Meterological forecasting  Deep learning  Neural architecture search  AutoML  
SegDQ: Segmentation assisted multi-object tracking with dynamic query-based transformers 期刊论文
NEUROCOMPUTING, 2022, 卷号: 481, 页码: 91-101
作者:  Liu, Yating;  Bai, Tianxiang;  Tian, Yonglin;  Wang, Yutong;  Wang, Jiangong;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(2635Kb)  |  收藏  |  浏览/下载：316/45  |  提交时间：2022/06/06
Multi-object tracking  Transformer  Semantic task  Dynamic query  
Sensor Fusion-Based Approach to Eliminating Moving Objects for SLAM in Dynamic Environments 期刊论文
Sensors, 2021, 期号: 21, 页码: 1-24
作者:  Zheng Rong;  Xiangwei Dang;  Xingdong Liang
Adobe PDF(1080Kb)  |  收藏  |  浏览/下载：213/86  |  提交时间：2022/04/06
SLAM  dynamic environments  LiDAR  mmW-radar  sensor fusion  moving objects  
Inductive Spatiotemporal Graph Convolutional Networks for Short-term Quantitative Precipitation Forecasting 期刊论文
IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, 2022, 2022, 卷号: 0, 0, 期号: 0, 页码: 0, 0
作者:  Yajing, Wu;  Xuebing, Yang;  Yongqiang, Tang;  Chenyang, Zhang;  Guoping, Zhang;  Wensheng, Zhang
Adobe PDF(10052Kb)  |  收藏  |  浏览/下载：313/74  |  提交时间：2022/04/06
Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  Quantitative precipitation forecasting  graph convolutional networks (GCN)  spatiotemporal model  radar-rain gauge data merging  
Classifying Clear Air Echoes via Static and Motion Streams Network 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 卷号: 19, 页码: 5
作者:  Qu, Yuxun;  Zhang, Chenyang;  Yang, Xuebing;  Wu, Yajing;  Zhang, Wensheng;  Zhang, Guoping
Adobe PDF(2306Kb)  |  收藏  |  浏览/下载：322/47  |  提交时间：2022/01/27
Radar  Radar imaging  Atmospheric modeling  Training  Streaming media  Image segmentation  Image sequences  Classification of nonprecipitation echoes  clear air echoes  feature fusion  radar image segmentation  
A Novel Sparse Geometric 3-D LiDAR Odometry Approach 期刊论文
IEEE SYSTEMS JOURNAL, 2021, 卷号: 15, 期号: 1, 页码: 1390-1400
作者:  Liang, Shuang;  Cao, Zhiqiang;  Guan, Peiyu;  Wang, Chengpeng;  Yu, Junzhi;  Wang, Shuo
Adobe PDF(4597Kb)  |  收藏  |  浏览/下载：355/74  |  提交时间：2021/05/06
Laser radar  Feature extraction  Simultaneous localization and mapping  Three-dimensional displays  Computational complexity  Distance measurement  Lighting  Line and plane features  line-to-line and plane-to-plane associations  sparse geometric map  3-D light detection and ranging (LiDAR) odometry  
Learning to Generate Radar Image Sequences Using Two-Stage Generative Adversarial Networks 期刊论文
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2020, 卷号: 17, 期号: 3, 页码: 401-405
作者:  Zhang, Chenyang;  Yang, Xuebing;  Tang, Yongqiang;  Zhang, Wensheng
Adobe PDF(2861Kb)  |  收藏  |  浏览/下载：305/51  |  提交时间：2020/06/02
Deep learning  extreme precipitation  generative adversarial networks (GANs)  radar image sequences