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Collective Entity Alignment for Knowledge Fusion of Power Grid Dispatching Knowledge Graphs 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 9, 期号: 11, 页码: 1-15
作者:  Yang, Linyao;  Lv, Chen;  Wang, Xiao;  Qiao, Ji;  Ding, Weiping;  Zhang, Jun;  Wang, Fei-Yue
Adobe PDF(1600Kb)  |  收藏  |  浏览/下载：213/28  |  提交时间：2022/06/15
entity alignment  integer programming  knowledge fusion  knowledge graph embedding  power dispatch  
Toward Coordination Control of Multiple Fish-Like Robots: Real-Time Vision-Based Pose Estimation and Tracking via Deep Neural Networks 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1964-1976
作者:  Tianhao Zhang;  Jiuhong Xiao;  Liang Li;  Chen Wang;  Guangming Xie
Adobe PDF(40902Kb)  |  收藏  |  浏览/下载：131/16  |  提交时间：2021/09/03
Deep neural networks  formation control  multiple fish-like robots  pose estimation  pose tracking  
Elastic Smart Contracts in Blockchains 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 12, 页码: 1901-1912
作者:  Schahram Dustdar;  Pablo Fernández;  José María García;  Antonio Ruiz-Cortés
Adobe PDF(7296Kb)  |  收藏  |  浏览/下载：197/62  |  提交时间：2021/09/03
Blockchain  elasticity  Internet of Things (IoT)  smart cities  smart contracts  virtual chains  
A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 10, 页码: 1627-1643
作者:  Jun Tang;  Gang Liu;  Qingtao Pan
Adobe PDF(5712Kb)  |  收藏  |  浏览/下载：153/38  |  提交时间：2021/09/03
Ant colony optimization (ACO)  artificial bee colony (ABC)  artificial fish swarm (AFS)  bacterial foraging optimization (BFO)  optimization  particle swarm optimization (PSO)  swarm intelligence  
Vision Based Hand Gesture Recognition Using 3D Shape Context 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1600-1613
作者:  Chen Zhu;  Jianyu Yang;  Zhanpeng Shao;  Chunping Liu
Adobe PDF(20003Kb)  |  收藏  |  浏览/下载：163/43  |  提交时间：2021/09/03
3D shape context  depth map  hand shape segmentation  hand gesture recognition  human-computer interaction  
Generating Adversarial Samples on Multivariate Time Series using Variational Autoencoders 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 9, 页码: 1523-1538
作者:  Samuel Harford;  Fazle Karim;  Houshang Darabi
Adobe PDF(12886Kb)  |  收藏  |  浏览/下载：152/46  |  提交时间：2021/09/03
Adversarial machine learning  deep learning  multivariate time series  perturbation methods  
Distributed Subgradient Algorithm for Multi-Agent Optimization With Dynamic Stepsize 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1451-1464
作者:  Xiaoxing Ren;  Dewei Li;  Yugeng Xi;  Haibin Shao
Adobe PDF(2527Kb)  |  收藏  |  浏览/下载：120/39  |  提交时间：2021/06/11
Distributed optimization  dynamic stepsize  gradient method  multi-agent networks  
FISS GAN: A Generative Adversarial Network for Foggy Image Semantic Segmentation 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 8, 页码: 1428-1439
作者:  Kunhua Liu;  Zihao Ye;  Hongyan Guo;  Dongpu Cao;  Long Chen;  Fei-Yue Wang
Adobe PDF(16859Kb)  |  收藏  |  浏览/下载：207/32  |  提交时间：2021/06/11
Edge GAN  foggy images  foggy image semantic segmentation GAN  semantic segmentation  
Distributed MPC for Reconfigurable Architecture Systems via Alternating Direction Method of Multipliers 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1336-1344
作者:  Ting Bai;  Shaoyuan Li;  Yuanyuan Zou
Adobe PDF(1936Kb)  |  收藏  |  浏览/下载：196/65  |  提交时间：2021/06/11
Alternating direction method of multipliers (ADMM) algorithm  distributed control  model predictive control (MPC)  reconfigurable architecture systems  
Disassembly Sequence Planning: A Survey 期刊论文
IEEE/CAA Journal of Automatica Sinica, 2021, 卷号: 8, 期号: 7, 页码: 1308-1324
作者:  Xiwang Guo;  MengChu Zhou;  Abdullah Abusorrah;  Fahad Alsokhiry;  Khaled Sedraoui
Adobe PDF(4140Kb)  |  收藏  |  浏览/下载：199/37  |  提交时间：2021/06/11
Artificial intelligence (AI)  disassembly sequence planning (DSP)  intelligent optimization  modeling methods  multi-objective optimization  single-objective optimization  uncertainty