AIMC Topic: City Planning
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Evaluation of spatial visual perception of streets based on deep learning and spatial syntax.
Scientific reports
May 26, 2025
Street visual quality improvement plays an important role in urban development. An important direction for street quality research lies in accurately perceiving the spatial quality of urban streets and exploring the connection with street constituent...
Resilience actions to counteract the effects of climate change and health emergencies in cities: the role of artificial neural networks.
Annali dell'Istituto superiore di sanita
Jan 1, 2019
Both the World Health Organization (WHO) with its 2015 "Climate and Health Country Profile Project" and the Istituto Superiore di Sanità (ISS) with its 2018 "Health and Climate Change", agree on the emergency generated by the climate change and conce...
Artificial neural network modeling of the water quality index using land use areas as predictors.
Water environment research : a research publication of the Water Environment Federation
Feb 1, 2015
This paper describes the design of an artificial neural network (ANN) model to predict the water quality index (WQI) using land use areas as predictors. Ten-year records of land use statistics and water quality data for Kinta River (Malaysia) were em...
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