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A Local-Global Attention Fusion Framework with Tensor Decomposition for Medical Diagnosis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1536-1538
作者:  Peishu Wu;  Han Li;  Liwei Hu;  Jirong Ge;  Nianyin Zeng
Adobe PDF(630Kb)  |  收藏  |  浏览/下载：48/17  |  提交时间：2024/05/22
Industry-oriented Detection Method of PCBA Defects Using Semantic Segmentation Models 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1438-1446
作者:  Yang Li;  Xiao Wang;  Zhifan He;  Ze Wang;  Ke Cheng;  Sanchuan Ding;  Yijing Fan;  Xiaotao Li;  Yawen Niu;  Shanpeng Xiao;  Zhenqi Hao;  Bin Gao;  Huaqiang Wu
Adobe PDF(12898Kb)  |  收藏  |  浏览/下载：45/15  |  提交时间：2024/05/22
Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
A Novel Tensor Decomposition-Based Efficient Detector for Low-Altitude Aerial Objects With Knowledge Distillation Scheme 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 2, 页码: 487-501
作者:  Nianyin Zeng;  Xinyu Li;  Peishu Wu;  Han Li;  Xin Luo
Adobe PDF(12478Kb)  |  收藏  |  浏览/下载：97/25  |  提交时间：2024/01/23
Attention mechanism  knowledge distillation (KD)  object detection  tensor decomposition (TD)  unmanned aerial vehicles (UAVs)  
Orientation and Decision-Making for Soccer Based on Sports Analytics and AI: A Systematic Review 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 1, 页码: 37-57
作者:  Zhiqiang Pu;  Yi Pan;  Shijie Wang;  Boyin Liu;  Min Chen;  Hao Ma;  Yixiong Cui
Adobe PDF(3690Kb)  |  收藏  |  浏览/下载：520/388  |  提交时间：2024/01/02
Artificial intelligence (AI)  decision-making  football  review  soccer  sports analytics  
Local-to-Global Causal Reasoning for Cross-Document Relation Extraction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1608-1621
作者:  Haoran Wu;  Xiuyi Chen;  Zefa Hu;  Jing Shi;  Shuang Xu;  Bo Xu
Adobe PDF(2465Kb)  |  收藏  |  浏览/下载：148/48  |  提交时间：2023/06/14
Causal reasoning  cross document  graph reasoning  relation extraction (RE)  
Pavement Cracks Coupled With Shadows: A New Shadow-Crack Dataset and A Shadow-Removal-Oriented Crack Detection Approach 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 7, 页码: 1593-1607
作者:  Lili Fan;  Shen Li;  Ying Li;  Bai Li;  Dongpu Cao;  Fei-Yue Wang
Adobe PDF(23502Kb)  |  收藏  |  浏览/下载：123/16  |  提交时间：2023/06/14
Automatic pavement crack detection  data augmentation compensation  deep learning  residual feature augmentation  shadow removal  shadow-crack dataset  
A Novel Parameter-Optimized Recurrent Attention Network for Pipeline Leakage Detection 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 1064-1076
作者:  Tong Sun;  Chuang Wang;  Hongli Dong;  Yina Zhou;  Chuang Guan
Adobe PDF(3211Kb)  |  收藏  |  浏览/下载：292/73  |  提交时间：2023/03/22
Anomaly-attention mechanism (AM)  long short-term memory (LSTM)  parameter-optimized recurrent attention network (PRAN)  particle swarm optimization (PSO)  pipeline leakage detection (PLD)  
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 4, 页码: 859-876
作者:  Ahmad Chaddad;  Qizong Lu;  Jiali Li;  Yousef Katib;  Reem Kateb;  Camel Tanougast;  Ahmed Bouridane;  Ahmed Abdulkadir
Adobe PDF(6028Kb)  |  收藏  |  浏览/下载：612/400  |  提交时间：2023/03/22
Domain adaptation  explainable artificial intelligence  federated learning  
Axial Assembled Correspondence Network for Few-Shot Semantic Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 3, 页码: 711-721
作者:  Yu Liu;  Bin Jiang;  Jiaming Xu
Adobe PDF(3290Kb)  |  收藏  |  浏览/下载：261/54  |  提交时间：2023/03/02
Artificial intelligence  computer vision  deep convolutional neural network  few-shot semantic segmentation  
Contrastive Learning for Blind Super-Resolution via A Distortion-Specific Network 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 78-89
作者:  Xinya Wang;  Jiayi Ma;  Junjun Jiang
Adobe PDF(11082Kb)  |  收藏  |  浏览/下载：190/56  |  提交时间：2023/01/03
Blind super-resolution  contrastive learning  deep learning  image super-resolution (SR)