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Design, analysis, and application of projected k-winner-take-all network 期刊论文
INFORMATION SCIENCES, 2023, 卷号: 621, 页码: 74-87
作者:  Liang, Siqi;  Peng, Bo;  Stanimirovic, Predrag S.;  Jin, Long
收藏  |  浏览/下载：114/0  |  提交时间：2023/02/07
k-winner-take-all(kWTA)  Projection function  Multi-agent system  Competitive coordination  Task allocation  
Distributed Competition of Multi-Robot Coordination Under Variable and Switching Topologies 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 页码: 12
作者:  Jin, Long;  Qi, Yimeng;  Luo, Xin;  Li, Shuai;  Shang, Mingsheng
收藏  |  浏览/下载：58/0  |  提交时间：2022/08/22
Robot kinematics  Robots  Topology  Multi-robot systems  Heuristic algorithms  Task analysis  Collaboration  Multi-robot coordination  winner-take-all  gradient neural network  distributed control  
Perturbed Manipulability Optimization in a Distributed Network of Redundant Robots 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2021, 卷号: 68, 期号: 8, 页码: 7209-7220
作者:  Jin, Long;  Zhang, Jiazheng;  Luo, Xin;  Liu, Mei;  Li, Shuai;  Xiao, Lin;  Yang, Zihao
收藏  |  浏览/下载：167/0  |  提交时间：2021/08/20
Manipulators  Optimization  Task analysis  Kinematics  Recurrent neural networks  Distributed control  generalized recurrent neural network (GRNN)  manipulability optimization (MO)  redundancy resolution  kinematic control  
Robust correlation filter tracking with deep semantic supervision 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 5, 页码: 754-760
作者:  Wang, Wei;  Chen, Zhaoming;  Douadji, Lyes;  Shi, Mingquan
Adobe PDF(3083Kb)  |  收藏  |  浏览/下载：233/0  |  提交时间：2019/06/24
particle filtering (numerical methods)  learning (artificial intelligence)  target tracking  convolutional neural nets  robust correlation filter tracking  high tracking performance  tracking failure  deep semantic supervision tracking framework  redetection tracking mechanism  particle filtering resampling  CF tracker  deep convolutional neural network  tracking frames  target occlusion  handcrafted features  real-time performance  OTB2013 benchmark datasets  OTB2015 benchmark datasets  
Synthetic Catalysts Inspired by Hydrolytic Enzymes 期刊论文
ACS CATALYSIS, 2019, 卷号: 9, 期号: 1, 页码: 168-187
作者:  Nothling, Mitchell D.;  Xiao, Zeyun;  Bhaskaran, Ayana;  Blyth, Mitchell T.;  Bennet, Christopher W.;  Coote, Michelle L.;  Connal, Luke A.
Adobe PDF(5283Kb)  |  收藏  |  浏览/下载：307/0  |  提交时间：2019/03/01
hydrolytic enzyme  enzyme mimic  catalyst  catalytic triad  reaction mechanism  
Identifying the influential nodes via eigen-centrality from the differences and similarities of structure 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2018, 卷号: 510, 页码: 77-82
作者:  Zhong, Lin-Feng;  Shang, Ming-Sheng;  Chen, Xiao-Long;  Cai, Shi-Ming
Adobe PDF(433Kb)  |  收藏  |  浏览/下载：122/0  |  提交时间：2018/11/01
Complex Network  Influential Node  Eigen-centrality  Sir  Kendall  
Neural & Bio-inspired Processing and Robot Control 期刊论文
FRONTIERS IN NEUROROBOTICS, 2018, 卷号: 12, 页码: 2
作者:  Khan, Ameer Hamza;  Li, Shuai;  Zhou, Xuefeng;  Li, Yangming;  Khan, Muhammad Umer;  Luo, Xin;  Wang, Huanqing
Adobe PDF(159Kb)  |  收藏  |  浏览/下载：168/0  |  提交时间：2018/12/13
bio-inspired  robot control  neural processing  processing  intelligent algorithm  
Low Effectiveness of Non-Geometric-Operation Data Augmentations for Lesion Segmentation with Fully Convolution Networks 会议论文
3rd IEEE International Conference on Image, Vision and Computing, ICIVC 2018, Chongqing, China, June 27, 2018 - June 29, 2018
作者:  Qiu, Yuming;  Qin, Xiaolin;  Zhang, Ju
Adobe PDF(910Kb)  |  收藏  |  浏览/下载：89/0  |  提交时间：2019/06/25
Editorial: Neural & bio-inspired processing and robot control 期刊论文
Frontiers in Neurorobotics, 2018, 卷号: 12, 期号: November
作者:  Khan, Ameer Hamza;  Li, Shuai;  Zhou, Xuefeng;  Li, Yangming;  Khan, Muhammad Umer;  Luo, Xin;  Wang, Huanqing
Adobe PDF(159Kb)  |  收藏  |  浏览/下载：868/1  |  提交时间：2019/06/26
Emerging trends in evolving networks: Recent behaviour dominant and non-dominant model 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2017, 卷号: 484, 页码: 506-515
作者:  Abbas, Khushnood;  Shang, Mingsheng;  Luo, Xin;  Abbasi, Alireza
Adobe PDF(2072Kb)  |  收藏  |  浏览/下载：98/0  |  提交时间：2018/03/05
Novelty  Evolving networks  Recommender systems  E-commerce  Collective behaviour  Trend prediction  Emerging behaviour