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ADST: Forecasting Metro Flow Using Attention-Based Deep Spatial-Temporal Networks with Multi-Task Learning 期刊论文
SENSORS, 2020, 卷号: 20, 期号: 16, 页码: 23
作者:  Jia, Hongwei;  Luo, Haiyong;  Wang, Hao;  Zhao, Fang;  Ke, Qixue;  Wu, Mingyao;  Zhao, Yunyun
收藏  |  浏览/下载:51/0  |  提交时间:2020/12/10
forecasting passenger flow  spatiotemporal networks  multi-task learning  attention mechanism  spatiotemporal dependency  
A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages 期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 2, 页码: 24
作者:  Fang, Wei;  Jiang, Jinguang;  Lu, Shuangqiu;  Gong, Yilin;  Tao, Yifeng;  Tang, Yanan;  Yan, Peihui;  Luo, Haiyong;  Liu, Jingnan
收藏  |  浏览/下载:42/0  |  提交时间:2020/12/10
LSTM  INS  GNSS integrated navigation system  GNSS outage  pseudo measurement estimating  
Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders 期刊论文
SENSORS, 2019, 卷号: 19, 期号: 4, 页码: 23
作者:  Wang, Qu;  Ye, Langlang;  Luo, Haiyong;  Men, Aidong;  Zhao, Fang;  Huang, Yan
收藏  |  浏览/下载:76/0  |  提交时间:2019/08/16
indoor positioning  deep learning  pedestrian dead reckoning  walking distance  stride-length estimation