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Accurate prediction of short-term photovoltaic power generation via a novel double-input-rule-modules stacked deep fuzzy method 期刊论文
ENERGY, 2020, 卷号: 212, 页码: 13
作者:  Li, Chengdong;  Zhou, Changgeng;  Peng, Wei;  Lv, Yisheng;  Luo, Xin
收藏  |  浏览/下载：227/0  |  提交时间：2021/03/08
PV power generation prediction  Deep fuzzy model  Double input rule module  Data driven method  Least square method  
Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social media 期刊论文
ENTERPRISE INFORMATION SYSTEMS, 2020, 页码: 20
作者:  Mao, Yu;  Zhu, Yifan;  Liu, Yiping;  Lin, Qika;  Lu, Hao;  Zhang, Fuquan
收藏  |  浏览/下载：254/0  |  提交时间：2021/03/02
User profiling  avatars in social media  user activity  suspicious user detection  
Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 22, 页码: 10200-10212
作者:  Shao, Lizhi;  Yan, Ye;  Liu, Zhenyu;  Ye, Xiongjun;  Xia, Haizhui;  Zhu, Xuehua;  Zhang, Yuting;  Zhang, Zhiying;  Chen, Huiying;  He, Wei;  Liu, Cheng;  Lu, Min;  Huang, Yi;  Ma, Lulin;  Sun, Kai;  Zhou, Xuezhi;  Yang, Guanyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：289/0  |  提交时间：2021/03/02
prostate cancer  Gleason grade groups  deep reinforcement learning  prostate cancer grading  magnetic resonance imaging  
Association between functional and structural connectivity of the corticostriatal network in people with schizophrenia and unaffected first-degree relatives 期刊论文
JOURNAL OF PSYCHIATRY & NEUROSCIENCE, 2020, 卷号: 45, 期号: 6, 页码: 395-405
作者:  Li, Peng;  Jing, Ri-Xing;  Zhao, Rong-Jiang;  Shi, Le;  Sun, Hong-Qiang;  Ding, Zengbo;  Lin, Xiao;  Lu, Lin;  Fan, Yong
收藏  |  浏览/下载：181/0  |  提交时间：2021/01/06
Parallel Control for Optimal Tracking via Adaptive Dynamic Programming 期刊论文
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2020, 卷号: 7, 期号: 6, 页码: 1662-1674
作者:  Lu, Jingwei;  Wei, Qinglai;  Wang, Fei-Yue
浏览  |  Adobe PDF(7214Kb)  |  收藏  |  浏览/下载：344/60  |  提交时间：2021/01/06
Adaptive dynamic programming (ADP)  nonlinear optimal control  parallel controller  parallel control theory  parallel system  tracking control  neural network (NN)  
Deep learning algorithm to improve hypertrophic cardiomyopathy mutation prediction using cardiac cine images 期刊论文
EUROPEAN RADIOLOGY, 2020, 页码: 10
作者:  Zhou, Hongyu;  Li, Lu;  Liu, Zhenyu;  Zhao, Kankan;  Chen, Xiuyu;  Lu, Minjie;  Yin, Gang;  Song, Lei;  Zhao, Shihua;  Zheng, Hairong;  Tian, Jie
收藏  |  浏览/下载：248/0  |  提交时间：2021/01/06
Cardiomyopathy  hypertrophic  Genotype  Deep learning  Magnetic resonance imaging  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：460/230  |  提交时间：2020/10/15
Intelligent transportation systems  
Manipulation Skill Learning on Multi-step Complex Task Based on Explicit and Implicit Curriculum Learning 期刊论文
SCIENCE CHINA Information Sciences, 2020, 卷号: 0, 期号: 0, 页码: 0-0
作者:  Liu, Naijun;  Lu, Tao;  Cai, Yinghao;  Wang, Rui;  Wang, Shuo
浏览  |  Adobe PDF(2456Kb)  |  收藏  |  浏览/下载：185/75  |  提交时间：2020/09/27
robot  manipulation skill learning  multi-step complex task  curriculum learning  
Show, Tell, and Polish: Ruminant Decoding for Image Captioning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 8, 页码: 2149-2162
作者:  Guo, Longteng;  Liu, Jing;  Lu, Shichen;  Lu, Hanqing
Adobe PDF(4378Kb)  |  收藏  |  浏览/下载：221/34  |  提交时间：2020/08/31
Image captioning  Multi-pass decoding  Rumination  
Brain-Inspired Active Learning Architecture for Procedural Knowledge Understanding Based on Human-Robot Interaction 期刊论文
COGNITIVE COMPUTATION, 2020, 页码: 13
作者:  Zhang, Tielin;  Zeng, Yi;  Pan, Ruihan;  Shi, Mengting;  Lu, Enmeng
收藏  |  浏览/下载：181/0  |  提交时间：2020/08/21
Brain-inspired architecture  Procedural knowledge  Deep neural network  Reinforcement learning  Knowledge graph