UrbanComp

  • UrbanComp
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    • 研究成果
      • 城市模型 (Urban Modeling)
      • 城市监测 (Urban Monitoring)
      • 健康城市 (Urban Health)
      • 城市分析 (Urban Project)
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      • UrbanComp AI
      • 树洞(团队BBS)
      • HeyWhale 和鲸课堂
      • 团队手把手教程(视频)
      • 学术报告视频集(回放)
      • 招生和联系方式

    城市模型 (Urban Modeling)

    Urban region representation learning incorporating transition, spatial, and temporal perspectives

    Title: Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives


    AED location selection considering myocardial infarction risk and medical resources

    Title: Automated external defibrillator location selection considering myocardial infarction risk and medical resources


    DCAI-CLUD: a data-centric framework for the construction of land-use datasets

    Title: DCAI-CLUD: a data-centric framework for the construction of land-use datasets


    HashGAT-VCA: A VCA model with hash function and graph attention network for land-use simulation

    Title: HashGAT-VCA: A vector cellular automata model with hash function and graph attention network for urban land-use change simulation


    A multimodal data fusion model for accurate urban land use mapping with uncertainty analysis

    Title: A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis


    Temporal-VCA: Simulating urban land use change using coupled temporal data and VCA

    Title: Temporal-VCA: Simulating urban land use change using coupled temporal data and vector cellular automata


    Graph convolutional networks for street network analysis with a case study of urban polycentricity

    Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities


    Predicting short-term PM2.5 at fine temporal resolutions using a multi-branch temporal GCN network

    Title:Predicting short-term PM2.5 concentrations at fine temporal resolutions using a multi-branch temporal graph convolutional neural networkAbstract


    Predicting the locations of missing persons in China by using NGO data and deep learning techniques

    Title:Predicting the locations of missing persons in China by using NGO data and deep learning techniquesAbstractMissing person crimes can seriously a


    Fine-grained regional economic forecasting for a megacity using vector-based cellular automata

    Fine-grained regional economic forecasting for a megacity using vector-based cellular automata


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    © 2025 UrbanComp   鄂ICP备19030362号-1   鄂公网安备42018502007187号

    UrbanComp

    • 首页
    • 新闻通知
    • 研究成果
      • 城市模型 (Urban Modeling)
      • 城市监测 (Urban Monitoring)
      • 健康城市 (Urban Health)
      • 城市分析 (Urban Project)
      • 地理模拟 (Urban Simulation)
      • 会议论文 (Conference Paper)
    • 软著专利
    • 在研课题
    • 专题展示
    • 软件下载
    • 资料下载
    • 团队成员
    • 团队服务
      • 团队飞书
      • 团队邮箱
      • 聊天AI(团队用)
      • GitLab(团队用)
      • 科研计算平台
      • 云文件存储服务
      • OneAPI管理后台
      • Overleaf LaTeX Editor
    • 项目服务
      • 数据共享和展示平台
      • 可计算乡村平台
      • DEV境外主机服务
      • AWS境外云主机服务
      • CN-MSLU-100K数据集
    • 关于我们
      • UrbanComp AI
      • 树洞(团队BBS)
      • HeyWhale 和鲸课堂
      • 团队手把手教程(视频)
      • 学术报告视频集(回放)
      • 招生和联系方式

    © 2025 UrbanComp

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