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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：49/8  |  提交时间：2024/06/06
Multi-source data fusion  CPSS  Industrial metaverses  Parallel manufacturing  Social manufacturing  
A memory and attention-based reinforcement learning for musculoskeletal robots with prior knowledge of muscle synergies 期刊论文
Robotic Intelligence and Automation, 2024, 卷号: 44, 期号: 2, 页码: 316-333
作者:  Xiaona Wang;  Jiahao Chen;  Hong Qiao
Adobe PDF(2591Kb)  |  收藏  |  浏览/下载：60/18  |  提交时间：2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
Generalized Feature Learning for Detection of Novel Objects 期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 卷号: 16, 期号: 1, 页码: 388-395
作者:  Jierui Liu;  Xilong Liu;  Zhiqiang Cao;  Junzhi Yu;  Min Tan
Adobe PDF(8844Kb)  |  收藏  |  浏览/下载：44/13  |  提交时间：2024/05/28
Object detection  few-shot  generalized features  source aggregation  
Target-Following Control of a Biomimetic Autonomous System Based on Predictive Reinforcement Learning 期刊论文
BIOMIMETICS, 2024, 卷号: 9, 期号: 1, 页码: 19
作者:  Wang, Yu;  Wang, Jian;  Kang, Song;  Yu, Junzhi
Adobe PDF(1553Kb)  |  收藏  |  浏览/下载：87/19  |  提交时间：2024/03/26
biomimetic motion  biomimetic autonomous system  target following  deep reinforcement learning  predictive control  
Deciphering the neural mechanisms of miR-134 in major depressive disorder with population-based and person-specific imaging transcriptomic techniques 期刊论文
PSYCHIATRY RESEARCH, 2023, 卷号: 329, 页码: 12
作者:  Lou, Jing;  Liu, Kai;  Wen, Junyan;  He, Yini;  Sun, Yuqing;  Tian, Xiaohan;  Hu, Ke;  Deng, Yanjia;  Liu, Bing;  Wen, Ge
Adobe PDF(7406Kb)  |  收藏  |  浏览/下载：75/8  |  提交时间：2024/02/22
Major depressive disorder (MDD)  miR-134  Two -stage cross -scale imaging transcriptomic  analyses  Biomarkers  Multi-omics  
Robustly uncovering the heterogeneity of neurodegenerative disease by using data-driven subtyping in neuroimaging: A review 期刊论文
Brain research, 2024, 卷号: 1823, 页码: 13
作者:  Chen, Pindong;  Zhang, Shirui;  Zhao, Kun;  Kang, Xiaopeng;  Rittman, Timothy;  Liu, Yong
Adobe PDF(1130Kb)  |  收藏  |  浏览/下载：105/2  |  提交时间：2024/02/22
Neurodegenerative diseases  Alzheimer's disease  Heterogeneity  Subtype  Data-driven  
Exploring Explicitly Disentangled Features for Domain Generalization 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2023, 卷号: 33, 期号: 11, 页码: 6360-6373
作者:  Li, Jingwei;  Li, Yuan;  Wang, Huanjie;  Liu, Chengbao;  Tan, Jie
Adobe PDF(2432Kb)  |  收藏  |  浏览/下载：134/14  |  提交时间：2023/12/21
Domain generalization  feature disentanglement  Fourier transform  data augmentation  
Spatial Domain Image Fusion with Particle Swarm Optimization and Lightweight AlexNet for Robotic Fish Sensor Fault Diagnosis 期刊论文
BIOMIMETICS, 2023, 卷号: 8, 期号: 6, 页码: 489
作者:  Fan, Xuqing;  Deng, Sai;  Wu, Zhengxing;  Fan, Junfeng;  Zhou, Chao
Adobe PDF(5062Kb)  |  收藏  |  浏览/下载：142/14  |  提交时间：2023/12/21
image fusion  lightweight AlexNet  particle swarm optimization  fault diagnosis  robotic fish  
Plexin D1 mediates disturbed flow-induced M1 macrophage polarization in atherosclerosis 期刊论文
HELIYON, 2023, 卷号: 9, 期号: 6, 页码: 15
作者:  Zhang, Suhui;  Zhang, Yingqian;  Zhang, Peng;  Wei, Zechen;  Ma, Mingrui;  Wang, Wei;  Tong, Wei;  Tian, Feng;  Hui, Hui;  Tian, Jie;  Chen, Yundai
Adobe PDF(8914Kb)  |  收藏  |  浏览/下载：155/9  |  提交时间：2023/11/17
Plexin D1  Macrophage polarization  Disturbed flow  Bifurcation lesions  Atherosclerosis  
Latent Structure Mining With Contrastive Modality Fusion for Multimedia Recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2023, 卷号: 35, 期号: 9, 页码: 9154-9167
作者:  Zhang, Jinghao;  Zhu, Yanqiao;  Liu, Qiang;  Zhang, Mengqi;  Wu, Shu;  Wang, Liang
Adobe PDF(1134Kb)  |  收藏  |  浏览/下载：168/14  |  提交时间：2023/11/17
Multimedia recommendation  graph structure learning  contrastive learning