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
Title: From Street View Imagery to the Countryside: Large-Scale Perception of Rural China Using Deep Learning
Title: Urban sensing in the era of large language models
Title: The impact of heterogeneous accessibility to metro stations on land use changes in a bike-sharing context
Title: A multimodal data fusion model for accurate and interpretable urban land use mapping with uncertainty analysis
Title:Predicting the locations of missing persons in China by using NGO data and deep learning techniquesAbstractMissing person crimes can seriously a
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 at micro-scale using spatial optimization strategy and geospatial big data
Title: Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism
Title: CarbonVCA: A cadastral parcel-scale carbon emission forecasting framework for peak carbon emissions
Title:Extracting human perceptions from street view images for better assessing urban renewal potentialHighlightsHuman visual and emotional perception