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Multi-scale full spike pattern for semantic segmentation 期刊论文
NEURAL NETWORKS, 2024, 卷号: 176, 页码: 12
作者:  Su, Qiaoyi;  He, Weihua;  Wei, Xiaobao;  Xu, Bo;  Li, Guoqi
收藏  |  浏览/下载：9/0  |  提交时间：2024/07/04
Spiking neural network  Semantic segmentation  Neuromorphic computing  Deep neural network  Energy efficiency  Brain-inspired computing  
Energy-Social Manufacturing for Social Computing 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2024, 页码: 14
作者:  Zhao, Alexis Pengfei;  Li, Shuangqi;  Wang, Yanjia;  Hu, Paul Jen-Hwa;  Wu, Chenye;  Cao, Zhidong;  Fei, Faith Xue
收藏  |  浏览/下载：3/0  |  提交时间：2024/07/03
Blockchain security  cyber-physical-social systems (CPSSs)  energy management  peer-to-peer trading  social manufacturing (SM)  
Emergence of brain-inspired small-world spiking neural network through neuroevolution 期刊论文
ISCIENCE, 2024, 卷号: 27, 期号: 2, 页码: 16
作者:  Pan, Wenxuan;  Zhao, Feifei;  Han, Bing;  Dong, Yiting;  Zeng, Yi
收藏  |  浏览/下载：3/0  |  提交时间：2024/07/03
DRL-Based Adaptive Sharding for Blockchain-Based Federated Learning 期刊论文
IEEE TRANSACTIONS ON COMMUNICATIONS, 2023, 卷号: 71, 期号: 10, 页码: 5992-6004
作者:  Lin, Yijing;  Gao, Zhipeng;  Du, Hongyang;  Kang, Jiawen;  Niyato, Dusit;  Wang, Qian;  Ruan, Jingqing;  Wan, Shaohua
收藏  |  浏览/下载：2/0  |  提交时间：2024/07/03
Blockchain sharding  federated learning  reputation  deep reinforcement learning  
FFCM-MRF: An accurate and generalizable cerebrovascular segmentation pipeline for humans and rhesus monkeys based on TOF-MRA 期刊论文
Computers in Biology and Medicine, 2024, 卷号: 170, 页码: 107996
作者:  Yue Cui;  Haibin Huang;  Jialu Liu;  Mingyang Zhao;  Chengyi Li;  Xinyong Han;  Na Luo;  Jinquan Gao;  Dong-ming Yan;  Chen Zhang;  Tianzi Jiang;  Shan Yu
Adobe PDF(985Kb)  |  收藏  |  浏览/下载：42/9  |  提交时间：2024/06/21
Cerebral vessels  Generalization  Markov random field  Segmentation  TOF-MRA  Unsupervised learning  
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：44/6  |  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：52/15  |  提交时间：2024/06/04
Musculoskeletal robot  Partial observable  Reinforcement learning  LSTM  Attention  Muscle synergy  
Model-Based Trajectory Planning of a Hybrid Robot for Powerline Inspection 期刊论文
IEEE Robotics and Automation Letters, 2024, 卷号: 9, 期号: 4, 页码: 3443-3450
作者:  Zhishuo, Li;  Yunong, Tian;  Guodong, Yang;  Yanfeng, Zhang;  En, Li;  Zize, Liang;  Min, Tan
Adobe PDF(2815Kb)  |  收藏  |  浏览/下载：59/23  |  提交时间：2024/05/31
Aerial systems  Applications  constrained motion planning  motion and path planning  
Automatic Robotic Cranium-Milling: A Motion Control Study of In Vitro Animal Experiments 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2024, 页码: 1-14
作者:  Bian GB(边桂彬);  Qian C(钱琛);  Li Z(李桢);  Ye Q(叶强);  Ge PC(葛培聪);  Zhao JZ(赵继宗)
Adobe PDF(2827Kb)  |  收藏  |  浏览/下载：54/14  |  提交时间：2024/05/28
Autonomous craniotomy robot  model-free adaptive nonlinear force control  skull-milling breakthrough detection  in vitro animal experiments  
The Journey/DAO/TAO of Embodied Intelligence: From Large Models to Foundation Intelligence and Parallel Intelligence 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 6, 页码: 1313-1316
作者:  Tianyu Shen;  Jinlin Sun;  Shihan Kong;  Yutong Wang;  Juanjuan Li;  Xuan Li;  Fei-Yue Wang
Adobe PDF(682Kb)  |  收藏  |  浏览/下载：54/21  |  提交时间：2024/05/22
Artificial intelligence  Chatbots  Autonomous systems  Intelligent systems  Robots  Digital humans  Robot kinematics  Learning (artificial intelligence)  Biological system modeling  Computational modeling  Human-robot interaction  Complex systems  Deep learning  Reinforcement learning  Large language models