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A Survey of Cognitive Architectures in the Past 20 Years 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3280-3290
作者:  Ye, Peijun;  Wang, Tao;  Wang, Fei-Yue
浏览  |  Adobe PDF(734Kb)  |  收藏  |  浏览/下载：703/255  |  提交时间：2019/01/08
Agent  artificial intelligence (Al)  cognitive architecture (CA)  survey  
Parallel Intelligent Systems for Integrated High-Speed Railway Operation Control and Dynamic Scheduling 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3381-3389
作者:  Dong, Hairong;  Zhu, Hainan;  Li, Yidong;  Lv, Yisheng;  Gao, Shigen;  Zhang, Qi;  Ning, Bin
浏览  |  Adobe PDF(2373Kb)  |  收藏  |  浏览/下载：424/192  |  提交时间：2019/01/08
ACP approach  high-speed railway system (HRS)  integrated operation control and dynamic scheduling  parallel intelligent system  
Estimating Sink Parameters of Stochastic Functional-Structural Plant Models Using Organic Series-Continuous and Rhythmic Development 期刊论文
FRONTIERS IN PLANT SCIENCE, 2018, 卷号: 9, 期号: 1688, 页码: 1-17
作者:  Kang, Mengzhen;  Hua, Jing;  Wang, Xiujuan;  de Reffye, Philippe;  Jaeger, Marc;  Akaffou, Selastique
浏览  |  Adobe PDF(3548Kb)  |  收藏  |  浏览/下载：332/56  |  提交时间：2019/07/12
greenlab  inverse method  source-sink parameters  functional-structural plant model  stochastic development  parameter estimation  
Generative Adversarial Networks for Parallel Transportation Systems 期刊论文
IEEE INTELLIGENT TRANSPORTATION SYSTEMS MAGAZINE, 2018, 卷号: 10, 期号: 3, 页码: 4-10
作者:  Lv, Yisheng;  Chen, Yuanyuan;  Li, Li;  Wang, Fei-Yue
浏览  |  Adobe PDF(2164Kb)  |  收藏  |  浏览/下载：336/40  |  提交时间：2018/01/08
Generative Adversarial Networks  Parallel Transportation Systems  Acp  Deep Learnin  Parallel Learning  Parallel Intelligence  
Blockchain and Cryptocurrencies: Mode Techniques, and Applications 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2018, 卷号: 48, 期号: 9, 页码: 1421-1428
作者:  Yuan, Yong;  Wang, Fei-Yue
浏览  |  Adobe PDF(907Kb)  |  收藏  |  浏览/下载：1226/797  |  提交时间：2018/10/10
Bitcoin  Blockchain  Consensus Algorithm  Cryptocurrency  Smart Contract  
A hierarchical framework for ad inventory allocation in programmatic advertising markets 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2018, 卷号: 31, 页码: 40-51
作者:  Juanjuan Li;  Xiaochun Ni;  Yong Yuan;  Fei-Yue Wang
浏览  |  Adobe PDF(1018Kb)  |  收藏  |  浏览/下载：436/163  |  提交时间：2018/09/20
Programmatic advertising  Ad inventory  Real-time bidding  Private marketplace  Header bidding  
MFR-CNN: Incorporating Multi-Scale Features and Global Information for Traffic Object Detection 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2018, 卷号: 67, 期号: 9, 页码: 8019-8030
作者:  Zhang, Hui;  Wang, Kunfeng;  Tian, Yonglin;  Gou, Chao;  Wang, Fei-Yue
Adobe PDF(4636Kb)  |  收藏  |  浏览/下载：292/57  |  提交时间：2019/12/16
Traffic Object Detection  Convolutional Neural Network  Multi-scale Features  Global Information  
Floating Autonomous Manipulation of the Underwater Biomimetic Vehicle-Manipulator System: Methodology and Verification 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 卷号: 65, 期号: 6, 页码: 4861-4870
作者:  Tang, Chong;  Wang, Yu;  Wang, Shuo;  Wang, Rui;  Tan, Min
浏览  |  Adobe PDF(1540Kb)  |  收藏  |  浏览/下载：337/76  |  提交时间：2018/10/08
Autonomous Underwater Manipulation  Autonomous Vehicles  Unmanned Underwater Vehicles  
Smart Choice for the Smart Grid: Narrowband Internet of Things (NB-IoT) 期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2018, 卷号: 5, 期号: 3, 页码: 1505-1515
作者:  Li, Yuke;  Cheng, Xiang;  Cao, Yang;  Wang, Dexin;  Yang, Liuqing
浏览  |  Adobe PDF(1367Kb)  |  收藏  |  浏览/下载：662/266  |  提交时间：2019/06/08
Advanced metering infrastructure (AMI)  communication technologies  low power wide area network (LPWAN)  narrowband Internet of Things (NB-IoT)  smart grid  
Traffic Sign Recognition Using a Multi-Task Convolutional Neural Network 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2018, 卷号: 19, 期号: 4, 页码: 1100-1111
作者:  Luo, Hengliang;  Yang, Yi;  Tong, Bei;  Wu, Fuchao;  Fan, Bin
浏览  |  Adobe PDF(4943Kb)  |  收藏  |  浏览/下载：793/372  |  提交时间：2018/01/04
Traffic Sign Detection  Traffic Sign Classification  Convolutional Neural Network  Multi-task Learning