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北京航空航天大学 [4]
武汉大学 [4]
大连理工大学 [2]
地质与地球物理研究所 [2]
自动化研究所 [2]
力学研究所 [1]
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期刊论文 [15]
会议论文 [6]
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2022 [1]
2021 [3]
2019 [4]
2018 [3]
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浏览/检索结果:
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Disaster Prediction Knowledge Graph Based on Multi-Source Spatio-Temporal Information
期刊论文
Remote Sensing, 2022, 期号: 14, 页码: 1214
作者:
Ge, Xingtong
;
Yang, Yi
;
Chen, Jiahui
;
Li, Weichao
;
Huang, Zhisheng
收藏
  |  
浏览/下载:57/0
  |  
提交时间:2022/03/31
disaster prediction knowledge graph
spatio-temporal
disaster dynamic prediction
multi-source data fusion
forest fire risk prediction
geological landslide risk prediction
A Spatio-Temporal Brightness Temperature Prediction Method for Forest Fire Detection with MODIS Data: A Case Study in San Diego
期刊论文
REMOTE SENSING, 2021, 卷号: 13, 期号: 15, 页码: 16
作者:
Gong, Adu
;
Li, Jing
;
Chen, Yanling
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/11/05
brightness temperature prediction
spatio-temporal information
contextual
MODIS
AST-GNN: An attention-based spatio-temporal graph neural network for Interaction-aware pedestrian trajectory prediction
期刊论文
NEUROCOMPUTING, 2021, 卷号: 445, 页码: 298-308
作者:
Zhou, Hao
;
Ren, Dongchun
;
Xia, Huaxia
;
Fan, Mingyu
;
Yang, Xu
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/08/15
Pedestrian trajectory prediction
Graph neural networks
Spatio-temporal graph
Graph attention
Wind Speed Prediction based on Spatio-Temporal Covariance Model Using Autoregressive Integrated Moving Average Regression Smoothing
期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2021, 卷号: 35
作者:
Wang, Yu
;
Zhu, Changan
;
Ye, Xiaodong
;
Zhao, Jianghai
;
Wang, Deji
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2021/08/31
Wind speed
spatio-temporal prediction
Gaussian random field
spatio-temporal kriging
ARIMA
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
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  |  
浏览/下载:76/0
  |  
提交时间:2019/11/14
Spatio-temporal flow volume
prediction
deep learning
LSTM
ResNet
Spatio-Temporal Interpolated Echo State Network for Meteorological Series Prediction
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2019, 卷号: 30, 页码: 1621-1634
作者:
Xu, Meiling
;
Yang, Yuanzhe
;
Han, Min
;
Qiu, Tie
;
Lin, Hongfei
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2019/12/02
Echo state networks (ESN)
elastic-net algorithm
interpolation
spatio-temporal series prediction
STLP-GSM: a method to predict future locations of individuals based on geotagged social media data
期刊论文
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2019, 卷号: 33, 期号: 12
作者:
Chen, Pengfei
;
Shi, Wenzhong
;
Zhou, Xiaolin
;
Liu, Zhewei
;
Fu, Xuandi
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2019/12/05
Spatio-temporal location
prediction uncertainty
daily trajectory
online footprint
social network
Co-Prediction of Multiple Transportation Demands Based on Deep Spatio-Temporal Neural Network
会议论文
KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019-01-01
作者:
Ye, Junchen
;
Sun, Leilei
;
Du, Bowen
;
Fu, Yanjie
;
Tong, Xinran
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2019/12/30
Demand Prediction
Spatio-Temporal Analysis
Sharing Economy
Deep Neural Network
STLoyal: A Spatio-Temporal Loyalty-Based Model for Subway Passenger Flow Prediction
期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 47461-47471
作者:
Wang, Jinzhong
;
Kong, Xiangjie
;
Zhao, Wenhong
;
Tolba, Amr
;
Al-Makhadmeh, Zafer
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2019/12/02
Passenger loyalty
spatio-temporal analysis
subway passenger flow prediction
A Deep Learning Approach to the Citywide Traffic Accident Risk Prediction
会议论文
IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
作者:
Ren, H.
;
Song, Y.
;
Wang, J.
;
Hu, Y.
;
Lei, J.
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2019/12/30
Behavioral research
Deep learning
Forecasting
Intelligent systems
Intelligent vehicle highway systems
Losses
Risk assessment
Traffic control
Accident warning systems
Command organization
Intelligent traffic controls
Real time traffics
Spatio-temporal resolution
Spatiotemporal correlation
Traffic environment
Traffic prediction
Accidents
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