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Climate Resilience Analysis of Public Spaces via Model-Based Artificial Intelligence Methods
The efficient planning of climate-resilient infrastructure supposes an in-depth understanding of current and future mobility patterns, which are highly influenced by climatic factors in the case of public spaces. Recently, machine learning (ML) techniques, particularly neural networks (NN), have bee
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