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Analyzing the dynamic sectoral influence in Chinese and American stock markets 期刊论文
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2019, 卷号: 536, 页码: 15
作者:  Tian, Hu;  Zheng, Xiaolong;  Zeng, Daniel Danjun
Adobe PDF(2694Kb)  |  收藏  |  浏览/下载：286/27  |  提交时间：2020/03/30
Sectoral influence  Multi-time scales  Causal network  Granger causality  Empirical mode decomposition  
A novel Cerenkov luminescence tomography approach using multilayer fully connected neural network 期刊论文
Physics in Medicine & Biology, 2019, 卷号: 64, 期号: 2019, 页码: 245010
作者:  Zhang,Zeyu;  Cai,Meishan;  Gao,Yuan;  Shi,Xiaojing;  Zhang,Xiaojun;  Hu,Zhenhua;  Tian,Jie
Adobe PDF(3210Kb)  |  收藏  |  浏览/下载：370/72  |  提交时间：2020/03/30
Cerenkov luminescence tomography (CLT)  optical reconstruction  photon propagation  neural network  inverse problem  
Document image binarization with cascaded generators of conditional generative adversarial networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 期号: 1, 页码: 12
作者:  Zhao, Jinyuan;  Shi, Cunzhao;  Jia, Fuxi;  Wang, Yanna;  Xiao, Baihua
Adobe PDF(3892Kb)  |  收藏  |  浏览/下载：434/75  |  提交时间：2019/12/16
Cascaded generator  Conditional generative adversarial networks  Document image binarization  Image generation  Historical document analysis  
Curiosity-Driven Exploration for Off-Policy Reinforcement Learning Methods 会议论文
, Dali, China, 2019.12.06-2019.12.08
作者:  Li, Boyao;  Lu, Tao;  Li, Jiayi;  Lu, Ning;  Cai, Yinghao;  Wang, Shuo
Adobe PDF(2877Kb)  |  收藏  |  浏览/下载：191/68  |  提交时间：2020/08/27
Short-Term Solar Power Generation Forecasting Via Continuous Conditional Random Fields 会议论文
, Chengdu, China, China, 6-9 Dec. 2019
作者:  Pan, Cheng;  Tan, Jie;  Feng, Dandan
Adobe PDF(360Kb)  |  收藏  |  浏览/下载：186/51  |  提交时间：2020/09/25
continuous conditional random fields , solar generation forecasting , regularization  
Feature Pyramid SSD: Outdoor Object Detection Algorithm for Blind People 会议论文
, Chengdu, China, 2019-12
作者:  Zhigong, Zhou;  Xiaosong, Lan;  Shuxiao, Li;  Chengfei, Zhu;  Hongxing, Chang
Adobe PDF(416Kb)  |  收藏  |  浏览/下载：177/47  |  提交时间：2021/06/24
A Hybrid Deep Learning Approach with GCN and LSTM for Traffic Flow Prediction 会议论文
, Auckland, New Zealand, 2019-10-27
作者:  Zhishuai Li;  Gang Xiong;  Yuanyuan Chen;  Yisheng Lv;  Bin Hu;  Fenghua Zhu;  Fei-Yue Wang
Adobe PDF(305Kb)  |  收藏  |  浏览/下载：288/61  |  提交时间：2020/10/15
A Learning-Based Framework for Error Compensation in 3-D Printing 期刊论文
IEEE Transactions on Cybernetics, 2019, 卷号: 49, 期号: 11, 页码: 4042-4050
作者:  Shen Z(沈震);  Shang XQ(商秀芹);  Zhao MH(赵美华);  Xiong G(熊刚);  Wang FY(王飞跃)
浏览  |  Adobe PDF(3664Kb)  |  收藏  |  浏览/下载：345/86  |  提交时间：2019/09/25
3d Printing  Additive Manufacturing  Cyber Physical System (Cps)  Deep Learning  Error Compensation  
Learning graph structure via graph convolutional networks 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 95, 期号: -, 页码: 308-318
作者:  Zhang, Qi;  Chang, Jianlong;  Meng, Gaofeng;  Xu, Shibiao;  Xiang, Shiming;  Pan, Chunhong
浏览  |  Adobe PDF(2475Kb)  |  收藏  |  浏览/下载：437/102  |  提交时间：2019/12/16
Deep learning  Graph convolutional neural networks  Graph structure learning  Changeable kernel sizes  
A Blockchain-based Framework for Collaborative Production in Distributed and Social Manufacturing 会议论文
2019 IEEE International Conference on Service Operations and Logistics, and Informatics, Zhengzhou, China, 2019-11
作者:  Ouyang,Liwei;  Yuan,Yong;  Wang,Fei-Yue
Adobe PDF(557Kb)  |  收藏  |  浏览/下载：62/22  |  提交时间：2023/06/06