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CASIA OpenIR

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The survey on multi-source data fusion in cyber-physical-social systems: Foundational infrastructure for industrial metaverses and industries 5.0 期刊论文
Information Fusion, 2024, 卷号: 107, 页码: 1-16
作者:  Xiao Wang;  Yutong Wang;  Jing Yang;  Xiaofeng Jia;  Lijun Li;  Weiping Ding;  Fei-Yue Wang
Adobe PDF(4446Kb)  |  收藏  |  浏览/下载：35/3  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
Automatically Discovering Novel Visual Categories With Adaptive Prototype Learning 期刊论文
https://ieeexplore.ieee.org/abstract/document/10328468, 2024, 卷号: 46, 期号: 4, 页码: 2533-2544
作者:  Lu Zhang;  Lu Qi;  Xu Yang;  Hong Qiao;  Ming-Hsuan Yang;  Zhiyong Liu
Adobe PDF(20312Kb)  |  收藏  |  浏览/下载：31/11  |  提交时间：2024/06/06
Image recognition  novel category discovery  transfer learning  
Multi-scale analysis of acupuncture mechanisms for motor and sensory cortex activity based on SEEG data 期刊论文
Cerebral Cortex, 2024, 卷号: 34, 期号: 4, 页码: 1-13
作者:  Xiaoyu Chang;  Pengliang Hao;  Shuhua Zhang;  Yuanyuan Dang;  Aijun Liu;  Nan Zheng;  Zhao Dong;  Hulin Zhao
Adobe PDF(1392Kb)  |  收藏  |  浏览/下载：31/12  |  提交时间：2024/05/31
Enhancing ENSO predictions with self-attention ConvLSTM and temporal embeddings 期刊论文
Frontiers in Marine Science, 2024, 卷号: 11, 页码: 1334210
作者:  Rui, Chuang;  Sun, Zhengya;  Zhang, Wensheng;  Liu, Anan;  Wei, Zhiqiang
Adobe PDF(14474Kb)  |  收藏  |  浏览/下载：29/9  |  提交时间：2024/05/28
El Niño-Southern Oscillation (ENSO)  deep learning for ENSO prediction  self-attention ConvLSTM  temporal embeddings  spring prediction barrier  
Graph-guided deep hashing networks for similar patient retrieval 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 169, 页码: 107865
作者:  Gu, Yifan;  Yang, Xuebing;  Sun, Mengxuan;  Wang, Chutong;  Yang, Hongyu;  Yang, Chao;  Wang, Jinwei;  Kong, Guilan;  Lv, Jicheng;  Zhang, Wensheng
Adobe PDF(1325Kb)  |  收藏  |  浏览/下载：36/12  |  提交时间：2024/05/28
Similar patient retrieval  Deep hashing  Graph neural networks  Patient representation learning  Electronic health records