Challenges and Opportunities in Applying Deep Learning Models to Urban Datasets
Urban systems are characterized by their complexity and dynamic nature, with numerous variables and interactions among various elements of the built environment. Traditional approaches to urban analysis and planning can be time-consuming and resource-intensive. However, recent advancements in deep learning techniques provide powerful tools for analyzing and comprehending urban datasets. In this article, we introduce …
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