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基于文生图模型的商品背景自动更换 学位论文
, 2024
Authors:  邓鹏飞
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文生图模型,扩散模型,背景更换,主体概念注入,边缘控制,商品  
An Empirical Study on Google Research Football Multi-agent Scenarios 期刊论文
Machine Intelligence Research, 2024, 卷号: 21, 期号: 3, 页码: 549-570
Authors:  Yan Song;  He Jiang;  Zheng Tian;  Haifeng Zhang;  Yingping Zhang;  Jiangcheng Zhu;  Zonghong Dai;  Weinan Zhang;  Jun Wang
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Multi-agent reinforcement learning (RL), distributed RL system, population-based training, reward shaping, game theory  
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
Authors:  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
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Automated optical inspection (AOI)  deep learning  defect detection  printed circuit board assembly (PCBA)  semantic segmentation  
A Two-layer Encoding Learning Swarm Optimizer based on Frequent Itemsets for Sparse Large-scale Multi-objective Optimization 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1342-1357
Authors:  Sheng Qi;  Rui Wang;  Tao Zhang;  Xu Yang;  Ruiqing Sun;  Ling Wang
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Evolutionary algorithms  learning swarm optimization  sparse large-scale optimization  sparse large-scale multi-objective problems  two-layer encoding  
Mapping Network-coordinated Stacked Gated Recurrent Units for Turbulence Prediction 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1331-1341
Authors:  Zhiming Zhang;  Shangce Gao;  MengChu Zhou;  Mengtao Yan;  Shuyang Cao
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Convolutional neural network  deep learning  recurrent neural network  turbulence prediction  wind load prediction  
Uncertainty-aware Deep Learning: A Promising Tool for Trustworthy Fault Diagnosis 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1317-1330
Authors:  Jiaxin Ren;  Jingcheng Wen;  Zhibin Zhao;  Ruqiang Yan;  Xuefeng Chen;  Asoke K. Nandi
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Out-of-distribution detection  traceability analysis  trustworthy fault diagnosis  uncertainty quantification  
基于自注意力对抗的深度子空间聚类 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 1, 页码: 271-281
Authors:  尹明;  吴浩杨;  谢胜利;  杨其宇
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子空间聚类  生成对抗网络  自注意力模型  深度学习  
深度生成模型综述 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 1, 页码: 40-74
Authors:  胡铭菲;  左信;  刘建伟
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深度生成式模型  受限玻尔兹曼机  变分自编码器  流模型  生成对抗网络  自回归分布估计  
基于文本与图像的肺疾病研究与预测 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 2, 页码: 531-538
Authors:  吕晴;  赵奎;  曹吉龙;  魏景峰
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深度学习  神经网络  多头注意力机制  bi-LSTM  肺癌  
基于混合变分自编码器回归模型的软测量建模方法 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 2, 页码: 398-407
Authors:  崔琳琳;  沈冰冰;  葛志强
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软测量  变分自编码器  高斯混合模型  混合变分自编码器回归模型  多模态工业过程