UrbanComp

  • 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
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      • 团队飞书
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      • 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

    城市分析 (Urban Project)

    Perceiving rural China via deep learning, from street views to countryside.

    Title: From Street View Imagery to the Countryside: Large-Scale Perception of Rural China Using Deep Learning


    Urban sensing in the era of large language models

    Title: Urban sensing in the era of large language models


    The impact of heterogeneous accessibility to metro stations on land use in bike-sharing context

    Title: The impact of heterogeneous accessibility to metro stations on land use changes in a bike-sharing context


    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


    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


    Extract the pickpocketing information implied in built environment by treating it as the anomalies

    Title: Extracting the pickpocketing information implied in the built environment by treating it as the anomaliesAbstractThe practice of crime risk map


    A site selection framework for urban power substation using optimization strategy and big data

    A site selection framework for urban power substation at micro-scale using spatial optimization strategy and geospatial big data


    Predicting mobile users' next location using geo-embedding model and multilayer attention mechanism

    Title: Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism


    CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions

    Title: CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions


    Extracting human perceptions from street view images for better assessing urban renewal potential

    Title:Extracting human perceptions from street view images for better assessing urban renewal potentialHighlightsHuman visual and emotional perception


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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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