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
	Towards Predicting the Measurement Noise Covariance with a Transformer and Residual Denoising Autoencoder for GNSS/INS Tightly-Coupled Integrated Navigation 期刊论文 REMOTE SENSING, 2022, 卷号: 14, 期号: 7, 页码: 22 作者:  Xu, Hongfu;  Luo, Haiyong;  Wu, Zijian;  Wu, Fan;  Bao, Linfeng;  Zhao, Fang 收藏  |  浏览/下载：17/0  |  提交时间：2022/12/07 tightly coupled integrated navigation  measurement noise estimation  transformer  adaptive Kalman filtering
	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;  Huang, Jingyu 收藏  |  浏览/下载：140/0  |  提交时间：2020/12/10 Wireless fidelity  Feature extraction  Fingerprint recognition  Residual neural networks  Deep learning  Robustness  Degradation  Convolutional neural network (CNN)  indoor positioning  long short-term memory (LSTM)  residual network  spatial-temporal
	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：49/0  |  提交时间：2020/12/10 forecasting passenger flow  spatiotemporal networks  multi-task learning  attention mechanism  spatiotemporal dependency