中国科学院计算技术研究所机构知识库

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限定条件	资助项目：National Natural Science Foundation of China[61872046]

已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择期刊影响因子升序期刊影响因子降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序WOS被引频次升序WOS被引频次降序题名升序题名降序
	Predicting the Noise Covariance With a Multitask Learning Model for Kalman Filter-Based GNSS/INS Integrated Navigation 期刊论文 IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 卷号: 70, 页码: 13 作者:  Wu, Fan;  Luo, Haiyong;  Jia, Hongwei;  Zhao, Fang;  Xiao, Yimin;  Gao, Xile 收藏  |  浏览/下载：36/0  |  提交时间：2021/12/01 Adaptive integrated navigation  deep learning  denoising autoencoder (DAE)  Kalman filter (KF)  measurement noise  process noise
	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
	Pedestrian Walking Distance Estimation Based on Smartphone Mode Recognition 期刊论文 REMOTE SENSING, 2019, 卷号: 11, 期号: 9, 页码: 23 作者:  Wang, Qu;  Ye, Langlang;  Luo, Haiyong;  Men, Aidong;  Zhao, Fang;  Ou, Changhai 收藏  |  浏览/下载：77/0  |  提交时间：2019/08/16 indoor positioning  machine learning  pedestrian dead reckoning  stride length estimation  smartphone mode recognition