CORC

浏览/检索结果: 共60条,第1-10条 帮助

限定条件    
已选(0)清除 条数/页:   排序方式:
Predicting future locations of moving objects with deep fuzzy-LSTM networks 期刊论文
TRANSPORTMETRICA A-TRANSPORT SCIENCE, 2020, 卷号: 16, 期号: 1, 页码: 119-136
作者:  Li, Mingxiao;  Lu, Feng;  Zhang, Hengcai;  Chen, Jie
收藏  |  浏览/下载:13/0  |  提交时间:2020/05/19
Vehicle Trajectory Prediction by Knowledge-Driven LSTM Network in Urban Environments 期刊论文
JOURNAL OF ADVANCED TRANSPORTATION, 2020, 卷号: 2020
作者:  Wang, Shaobo;  Zhao, Pan;  Yu, Biao;  Huang, Weixin;  Liang, Huawei
收藏  |  浏览/下载:44/0  |  提交时间:2020/12/28
A Spatial-Temporal Positioning Algorithm Using Residual Network and LSTM 期刊论文
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2020, 卷号: 69, 期号: 11, 页码: 9251-9261
作者:  Wang, Rongrong;  Luo, Haiyong;  Wang, Qu;  Li, Zhaohui;  Zhao, Fang
收藏  |  浏览/下载:42/0  |  提交时间:2020/12/10
STGA-LSTM: A Spatial-Temporal Graph Attentional LSTM Scheme for Multi-Agent Cooperation 会议论文
线上, 2020-11
作者:  Huimu Wang;  Zhen Liu;  Zhiqiang Pu;  Jianqiang Yi
收藏  |  浏览/下载:9/0  |  提交时间:2021/06/24
Density limit disruption prediction using a long short-term memory network on EAST 期刊论文
PLASMA SCIENCE & TECHNOLOGY, 2020, 卷号: 22
作者:  Zhang, Kai;  Chen, Dalong;  Guo, Bihao;  Chen, Junjie;  Xiao, Bingjia
收藏  |  浏览/下载:15/0  |  提交时间:2020/11/30
A long short-term memory neural network model for knee joint acceleration estimation using mechanomyography signals 期刊论文
INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS, 2020, 卷号: 17
作者:  Xie, Chenlei;  Wang, Daqing;  Wu, Haifeng;  Gao, Lifu
收藏  |  浏览/下载:21/0  |  提交时间:2020/12/28
Improved Deep Learning Technique to Detect Freezing of Gait in Parkinson's Disease Based on Wearable Sensors 期刊论文
ELECTRONICS, 2020, 卷号: 9
作者:  Li, Bochen;  Yao, Zhiming;  Wang, Jianguo;  Wang, Shaonan;  Yang, Xianjun
收藏  |  浏览/下载:26/0  |  提交时间:2020/12/28
A new ensemble deep learning approach for exchange rates forecasting and trading 期刊论文
ADVANCED ENGINEERING INFORMATICS, 2020, 卷号: 46, 页码: 10
作者:  Sun, Shaolong;  Wang, Shouyang;  Wei, Yunjie
收藏  |  浏览/下载:11/0  |  提交时间:2021/04/26
A Framework to Predict High-Resolution Spatiotemporal PM(2.5)Distributions Using a Deep-Learning Model: A Case Study of Shijiazhuang, China 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 17, 页码: 33
作者:  Zhang, Guangyuan;  Lu, Haiyue;  Dong, Jin;  Poslad, Stefan;  Li, Runkui
收藏  |  浏览/下载:17/0  |  提交时间:2021/03/16
Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation 期刊论文
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 卷号: 176
作者:  Chen, Peng;  Xiao, Qingxin;  Zhang, Jun;  Xie, Chengjun;  Wang, Bing
收藏  |  浏览/下载:13/0  |  提交时间:2021/03/15


©版权所有 ©2017 CSpace - Powered by CSpace