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Spatiotemporal variation of land surface temperature and its driving factors in Xinjiang, China
期刊论文
JOURNAL OF ARID LAND, 2024, 卷号: 16, 期号: 3, 页码: 373-395
作者:
Zhang, Mingyu
;
Cao, Yu
;
Zhang, Zhengyong
;
Zhang, Xueying
;
Liu, Lin
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/05/07
land surface temperature
climate change
geographical detector (Geodetector)
geographically weighted regression (GWR)
source-sink effect
Xinjiang
Hedonic Coalition Formation for Distributed Task Allocation in Heterogeneous Multi-agent System
期刊论文
INTERNATIONAL JOURNAL OF CONTROL AUTOMATION AND SYSTEMS, 2024, 页码: 13
作者:
Wang, Lexing
;
Qiu, Tenghai
;
Pu, Zhiqiang
;
Yi, Jianqiang
;
Zhu, Jinying
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  |  
浏览/下载:1/0
  |  
提交时间:2024/03/13
Coalition formation
hedonic games
heterogeneous agents
Nash stable
task allocation
HMSG: Heterogeneous graph neural network based on Metapath SubGraph learning
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2023, 卷号: 279, 页码: 11
作者:
Guan, Mengya
;
Cai, Xinjun
;
Shang, Jiaxing
;
Hao, Fei
;
Liu, Dajiang
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  |  
浏览/下载:4/0
  |  
提交时间:2023/11/22
Graph neural network
Heterogeneous graph
Metapath
Subgraph
Information network
KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning
期刊论文
BMC MEDICAL INFORMATICS AND DECISION MAKING, 2023, 卷号: 23, 期号: 1, 页码: 19
作者:
An, Yang
;
Tang, Haocheng
;
Jin, Bo
;
Xu, Yi
;
Wei, Xiaopeng
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  |  
浏览/下载:2/0
  |  
提交时间:2023/12/21
Electronic medical records
Medication prediction
Intelligent healthcare system
Multi-source medical knowledge
Graph contrastive learning
NVIF: Neighboring Variational Information Flow for Cooperative Large-Scale Multiagent Reinforcement Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 13
作者:
Chai, Jiajun
;
Zhu, Yuanheng
;
Zhao, Dongbin
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  |  
浏览/下载:3/0
  |  
提交时间:2023/11/16
Large-scale multiagent
neighboring communication
reinforcement learning (RL)
variational information flow
VistaGPT: Generative Parallel Transformers for Vehicles With Intelligent Systems for Transport Automation
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 9, 页码: 4198-4207
作者:
Tian, Yonglin
;
Li, Xuan
;
Zhang, Hui
;
Zhao, Chen
;
Li, Bai
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  |  
浏览/下载:1/0
  |  
提交时间:2023/12/21
Transformers
Task analysis
Autonomous vehicles
Planning
Biological system modeling
Navigation
Automation
Generative parallel transformers
end-to-end driving
transport automation
large-language models
federation of vehicular transformers
scenario engineering
Modeling the Coupling Propagation of Information, Behavior, and Disease in Multilayer Heterogeneous Networks
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2023, 页码: 13
作者:
Luo, Tianyi
;
Xu, Duo
;
Cao, Zhidong
;
Zhao, Pengfei
;
Wang, Jiaojiao
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2023/11/17
COVID-19
heterogeneous coupling networks
infectious disease transmission models
information dissemination
scenario modeling
Data-Driven Optimal Output Cluster Synchronization Control of Heterogeneous Multi-Agent Systems
期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2023, 页码: 11
作者:
Li, Hongyang
;
Wei, Qinglai
收藏
  |  
浏览/下载:5/0
  |  
提交时间:2023/11/17
Index Terms- Output cluster synchronization control
data-driven control
adaptive dynamic programming
policy iteration
heterogeneous multi-agent systems
optimal control
Crowd Sensing Intelligence for ITS: Participants, Methods, and Stages
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 6, 页码: 3541-3546
作者:
Zhao, Yong
;
Hu, Cong
;
Zhu, Zhengqiu
;
Qiu, Sihang
;
Chen, Bin
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2023/11/17
Crowd sensing intelligence
intelligence transportation systems
cyber-physical-social systems
Semisupervised Progressive Representation Learning for Deep Multiview Clustering
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2023, 页码: 15
作者:
Chen, Rui
;
Tang, Yongqiang
;
Xie, Yuan
;
Feng, Wenlong
;
Zhang, Wensheng
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2023/11/17
Representation learning
Training
Data models
Task analysis
Complexity theory
Semisupervised learning
Optimization
Deep clustering
multiview clustering
progressive sample learning
semisupervised learning
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