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Spatio-temporal fusion graph convolutional network for traffic flow forecasting
期刊论文
INFORMATION FUSION, 2024, 卷号: 104, 页码: 11
作者:
Ma, Ying
;
Lou, Haijie
;
Yan, Ming
;
Sun, Fanghui
;
Li, Guoqi
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/02/22
Graph convolutional network
Spatio-temporal data
Traffic forecasting
Containment-Based Multiple PCC Voltage Regulation Strategy for Communication Link and Sensor Faults
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2023, 卷号: 10, 期号: 11, 页码: 2045-2055
作者:
Meina Zhai
;
Qiuye Sun
;
Rui Wang
;
Huaguang Zhang
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2023/09/22
Communication link faults
directed graph
fully distributed control
voltage regulation control
A traffic flow-forecasting model based on multi-head spatio-temporal attention and adaptive graph convolutional networks
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2022, 卷号: 33, 期号: 10
作者:
Zhang, Hong
;
Kan, Sunan
;
Cao, Jie
;
Chen, Linlong
;
Zhao, Tianxin
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2022/09/22
Traffic flow forecasting
deep learning
multi-head spatio-temporal attention mechanism
graph convolutional network
spatio-temporal correlation
Fine-Grained Vessel Traffic Flow Prediction With a Spatio-Temporal Multigraph Convolutional Network
期刊论文
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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  |  
浏览/下载:20/0
  |  
提交时间:2022/11/14
Traffic flow prediction
maritime traffic network
multi-graph convolutional network
automatic identification system (AIS)
Influence of Guide Vane Profile Change on Draft Tube Flow Characteristics of Water Pump Turbine
期刊论文
PROCESSES, 2022, 卷号: 10, 期号: 8
作者:
Li, Qifei
;
Xin, Lu
;
Xie, Gengda
;
Liu, Siqi
;
Wang, Qifan
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/09/22
reversible water turbines
guide vane profile change
draft tube vortex belt
pressure pulsation
energy recovery factor
Explicit Cross-Modal Representation Learning for Visual Commonsense Reasoning
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2022, 卷号: 24, 页码: 2986-2997
作者:
Zhang, Xi
;
Zhang, Feifei
;
Xu, Changsheng
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  |  
浏览/下载:26/0
  |  
提交时间:2022/07/25
Cognition
Video recording
Syntactics
Visualization
Task analysis
Semantics
Linguistics
Visual Commonsense Reasoning
explicit reasoning
syntactic structure
interpretability
A combined traffic flow forecasting model based on graph convolutional network and attention mechanism
期刊论文
INTERNATIONAL JOURNAL OF MODERN PHYSICS C, 2021, 卷号: 32, 期号: 12
作者:
Zhang, Hong
;
Chen, Linlong
;
Cao, Jie
;
Zhang, Xijun
;
Kan, Sunan
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2022/03/01
Traffic flow forecasting
deep learning
attention mechanism
graph convolutional network
spatiotemporal characteristics
A deep learning traffic flow prediction framework based on multi-channel graph convolution
期刊论文
TRANSPORTATION PLANNING AND TECHNOLOGY, 2021, 卷号: 44, 期号: 8, 页码: 887-900
作者:
Zhao, Yuanmeng
;
Cao, Jie
;
Zhang, Hong
;
Liu, Zongli
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2021/12/17
Traffic flow
deep learning
graph convolution (GCN)
Long Short-Term Memory (LSTM)
spatial-temporal features
MS-Net: Multi-Source Spatio-Temporal Network for Traffic Flow Prediction
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 14
作者:
Fang, Shen
;
Prinet, Veronique
;
Chang, Jianlong
;
Werman, Michael
;
Zhang, Chunxia
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2022/01/27
Feature extraction
Convolution
Predictive models
Data models
Correlation
Roads
Kernel
Graph convolution
deep attention mechanism
traffic network
traffic flow prediction
artificial intelligence
deep learning
Meta-MSNet: Meta-Learning Based Multi-Source Data Fusion for Traffic Flow Prediction
期刊论文
IEEE SIGNAL PROCESSING LETTERS, 2021, 卷号: 28, 页码: 6-10
作者:
Fang, Shen
;
Pan, Xianbing
;
Xiang, Shiming
;
Pan, Chunhong
收藏
  |  
浏览/下载:22/0
  |  
提交时间:2021/03/01
Data fusion
deep learning
graph convolution
meta-learning
traffic flow prediction
traffic network
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