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Research on the Nonlinear Random Matrix Model for Urban Information Model and Modern Urban Governance
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Research on the Nonlinear Random Matrix Model for Urban Information Model and Modern Urban Governance (2022)Research on the Nonlinear Random Matrix M…Research on style control in planning and designing small towns (2020)Research on style control in …Big spatial data for urban and environmental sustainability (2020)Big spatial data for urban an…A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction (2020)A Hybrid Deep Learning Model …A deep-learning model for urban traffic flow prediction with traffic events mined from twitter (2020)A deep-learning model for urb…T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction (2019)T-GCN: A Temporal Graph Convo…National Business Regulations and City Entrepreneurship in Europe: A Multilevel Nested Analysis (2018)National Business Regulations…Fine-grained prediction of urban population using mobile phone location data (2018)Fine-grained prediction of ur…Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Understanding individual human mobility patterns (2008)Dynamic population mapping using mobile phone data (2014)Mapping monthly population distribution and variation at 1-km resolution across China (2020)Equalizing the spatial accessibility of emergency medical services in Shanghai: A trade-off perspective (2021)A hypergraph-based hybrid graph convolutional network for intracity human activity intensity prediction and geographic relationship interpretation (2023)Toward a More General Theory of Regulation (1976)Institutions, Institutional Change and Economic Performance (1990)The New Institutional Economics: Taking Stock, Looking Ahead (2000)Six critical questions about smart specialization (2019)Building sustainable entrepreneurial ecosystems: A holistic approach (2021)Collaboration strategies and SME innovation performance (2023)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction (2017)Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting (2017)Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting (2021)Graph neural network for traffic forecasting: A survey (2022)Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey (2023)Designing a neural network for forecasting financial and economic time series (1996)Automatic Crime Prediction Using Events Extracted from Twitter Posts (2012)Sentiment analysis on social media for stock movement prediction (2015)Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities (2022)Local Indicators of Spatial Association—LISA (1995)Business Intelligence and Analytics: From Big Data to Big Impact (2012)The Death and Life of Great American Cities (2015)Urban Resilience for Urban Sustainability: Concepts, Dimensions, and Perspectives (2022)A review of regional and Global scale Land Use/Land Cover (LULC) mapping products generated from satellite remote sensing (2023)Urban Remote Sensing with Spatial Big Data: A Review and Renewed Perspective of Urban Studies in Recent Decades (2023)Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting (2018)
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References

  • 2019T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction3,527 cited
  • 2020A Hybrid Deep Learning Model With Attention-Based Conv-LSTM Networks for Short-Term Traffic Flow Prediction574 cited
  • 2020A deep-learning model for urban traffic flow prediction with traffic events mined from twitter198 cited
  • 2018National Business Regulations and City Entrepreneurship in Europe: A Multilevel Nested Analysis145 cited
  • 2020Big spatial data for urban and environmental sustainability86 cited
  • 2018Fine-grained prediction of urban population using mobile phone location data74 cited
  • 2020Research on style control in planning and designing small towns14 cited

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