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Deep Reinforcement Learning-Based Driving Policy at Intersections Utilizing Lane Graph Networks
期刊论文
IEEE Transactions on Cognitive and Developmental Systems, 2024, 页码: 1 - 16
作者:
Liu, Yuqi
;
Zhang, Qichao
;
Gao, Yinfeng
;
Zhao, Dongbin
收藏
  |  
浏览/下载:0/0
  |  
提交时间:2024/06/03
Reinforcement Learning
Autonomous Driving
Intersection Navigating
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:2/0
  |  
提交时间:2024/02/22
Graph convolutional network
Spatio-temporal data
Traffic forecasting
SocialVis: Dynamic Social Visualization in Dense Scenes via Real-time Multi-Object Tracking and Proximity Graph Construction
期刊论文
Computer Animation and Virtual Worlds, 2024, 卷号: 35, 期号: 3, 页码: 1-15
作者:
Li BW(李博文)
;
Li W(李巍)
;
Wang JQ(王镜淇)
;
Meng WL(孟维亮)
;
Zhang JG(张吉光)
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  |  
浏览/下载:0/0
  |  
提交时间:2024/06/04
Target Controllability of Multiplex Networks With Weighted Interlayer Edges
期刊论文
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2024, 卷号: 11, 期号: 1, 页码: 313-325
作者:
Ding, Jie
;
Zhang, Yaozhong
;
Song, Kun
;
Li, Guoqi
;
Wang, Wei
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浏览/下载:0/0
  |  
提交时间:2024/03/26
Multiplex networks
weighted networks
target controllability
minimum cost max flow
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
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  |  
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
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  |  
浏览/下载:26/0
  |  
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:23/0
  |  
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
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  |  
浏览/下载:13/0
  |  
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:27/0
  |  
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:14/0
  |  
提交时间:2022/03/01
Traffic flow forecasting
deep learning
attention mechanism
graph convolutional network
spatiotemporal characteristics
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