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A novel residual graph convolution deep learning model for short-term network-based traffic forecasting 期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 34, 期号: 5, 页码: 27
作者:  Zhang, Yang;  Cheng, Tao;  Ren, Yibin;  Xie, Kun
Adobe PDF(4145Kb)  |  收藏  |  浏览/下载：355/0  |  提交时间：2020/03/20
Short-term traffic forecasting  spatial-temporal dependency  network topology  graph convolution  residual long short-term memory  
Establishing an eyeball-weight relationship for Litopenaeus vannamei using machine vision technology 期刊论文
AQUACULTURAL ENGINEERING, 2019, 卷号: 87, 页码: 8
作者:  Chen, Fudi;  Xu, Jianping;  Wei, Ying;  Sun, Jianming
Adobe PDF(1425Kb)  |  收藏  |  浏览/下载：172/0  |  提交时间：2020/09/23
Recirculating aquaculture system (RAS)  Litopenaeus vannamei  Eyeball axial length  Eyeball-weight relationship  Piecewise fitting  
A hybrid integrated deep learning model for the prediction of citywide spatio-temporal flow volumes 期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 页码: 22
作者:  Ren, Yibin;  Chen, Huanfa;  Han, Yong;  Cheng, Tao;  Zhang, Yang;  Chen, Ge
Adobe PDF(3526Kb)  |  收藏  |  浏览/下载：322/0  |  提交时间：2019/11/14
Spatio-temporal flow volume  prediction  deep learning  LSTM  ResNet