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Deep Learning In Urban Analysis For Health, David Newton
Deep Learning In Urban Analysis For Health, David Newton
Architecture Program: Faculty Scholarly and Creative Activity
The application of deep learning to urban health analysis is in its early stages, but offers new and promising capabilities in using large image-based datasets to better understand the built environment and its effects on human health. This chapter will introduce and explore some of these capabilities, providing the allied design fields with a roadmap of this emerging area of research, its potentials, and current challenges. The chapter begins with a brief overview of existing research related to urban morphology and health, in which precedent work using traditional methods as well as deep learning are introduced. Next, research is presented …