中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
自动化研究所 [19]
计算技术研究所 [4]
地理科学与资源研究所 [3]
沈阳自动化研究所 [2]
数学与系统科学研究院 [1]
心理研究所 [1]
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采集方式
OAI收割 [32]
内容类型
期刊论文 [27]
学位论文 [2]
SCI/SSCI论文 [1]
专利 [1]
会议论文 [1]
发表日期
2023 [3]
2022 [10]
2021 [3]
2020 [2]
2019 [2]
2018 [3]
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学科主题
Automation... [1]
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Deep spatial-temporal travel time prediction model based on trajectory feature
期刊论文
OAI收割
COMPUTERS & ELECTRICAL ENGINEERING, 2023, 卷号: 110, 页码: 12
作者:
Sheng, Zhaoyu
;
Lv, Zhiqiang
;
Li, Jianbo
;
Xu, Zhihao
  |  
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/12/04
Travel time prediction
Trajectory feature
Traffic condition
Spatial correlation
Temporal dependence
Research on Multi-Port Ship Traffic Prediction Method Based on Spatiotemporal Graph Neural Networks
期刊论文
OAI收割
JOURNAL OF MARINE SCIENCE AND ENGINEERING, 2023, 卷号: 11, 期号: 7, 页码: 18
作者:
Li, Yong
;
Li, Zhaoxuan
;
Mei, Qiang
;
Wang, Peng
;
Hu, Wenlong
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/12/04
spatiotemporal graph neural network
traffic flow prediction
ship big data
AIS
port traffic prediction
STGSA: A Novel Spatial-Temporal Graph Synchronous Aggregation Model for Traffic Prediction
期刊论文
OAI收割
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 1, 页码: 226-238
作者:
Zebing Wei
;
Hongxia Zhao
;
Zhishuai Li
;
Xiaojie Bu
;
Yuanyuan Chen
  |  
收藏
  |  
浏览/下载:41/0
  |  
提交时间:2023/01/03
Deep learning
graph neural network (GNN)
multi-stream
spatial-temporal feature extraction
temporal graph
traffic prediction
AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:
Fang, Shen
;
Zhang, Chunxia
;
Xiang, Shiming
;
Pan, Chunhong
  |  
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/02/22
Deep learning
neural architecture search
graph convolution
meta-learning
traffic flow prediction
GLSNN Network: A Multi-Scale Spatiotemporal Prediction Model for Urban Traffic Flow
期刊论文
OAI收割
SENSORS, 2022, 卷号: 22, 期号: 22, 页码: 14
作者:
Cai, Benhe
;
Wang, Yanhui
;
Huang, Chong
;
Liu, Jiahao
;
Teng, Wenxin
  |  
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/12/23
GLSNN model
spatiotemporal data fusion
multi-scale
traffic flow prediction
spatiotemporal dependence
GLSNN Network: A Multi-Scale Spatiotemporal Prediction Model for Urban Traffic Flow
期刊论文
OAI收割
SENSORS, 2022, 卷号: 22, 期号: 22, 页码: 14
作者:
Cai, Benhe
;
Wang, Yanhui
;
Huang, Chong
;
Liu, Jiahao
;
Teng, Wenxin
  |  
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2022/12/23
GLSNN model
spatiotemporal data fusion
multi-scale
traffic flow prediction
spatiotemporal dependence
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 14
作者:
Liang, Maohan
;
Liu, Ryan Wen
;
Zhan, Yang
;
Li, Huanhuan
;
Zhu, Fenghua
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收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/11/14
Traffic flow prediction
maritime traffic network
multi-graph convolutional network
automatic identification system (AIS)
A deep spatio-temporal meta-learning model for urban traffic revitalization index prediction in the COVID-19 pandemic
期刊论文
OAI收割
ADVANCED ENGINEERING INFORMATICS, 2022, 卷号: 53, 页码: 12
作者:
Wang, Yue
;
Lv, Zhiqiang
;
Sheng, Zhaoyu
;
Sun, Haokai
;
Zhao, Aite
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/12/07
Urban computing
Traffic revitalization index prediction
COVID-19pandemic
Meta-learning
Spatio-temporal correlation
Meta Graph Transformer: A Novel Framework for Spatial-Temporal Traffic Prediction
期刊论文
OAI收割
NEUROCOMPUTING, 2022, 卷号: 491, 页码: 544-563
作者:
Ye, Xue
;
Fang, Shen
;
Sun, Fang
;
Zhang, Chunxia
;
Xiang, Shiming
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/09/19
Traffic prediction
Spatial-temporal modeling
Meta-learning
Attention mechanism
Deep learning
Tabular Learning-Based Traffic Event Prediction for Intelligent Social Transportation System
期刊论文
OAI收割
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 12
作者:
Sun, Chen
;
Li, Shen
;
Cao, Dongpu
;
Wang, Fei-Yue
;
Khajepour, Amir
  |  
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2022/07/25
Accidents
Data models
Predictive models
Roads
Analytical models
Vehicles
Sun
Crowd sourcing
social transportation system
tabular learning
traffic prediction