Utilizing machine learning models for new directions in hous

Machine learning models for more sustainable and affordable housing in regional areas, assessing bushfire risk as well as consideration for disability, biodiversity and also a place for animals in urban residential settings present new perspectives on future town planning and the housing market.

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Melbourne , Victoria , Australia , Port Augusta , South Australia , Port Lincoln , Flinders University , Whyalla , Australian , Araceli Camargo , Nicole Redvers , Ali Soltani , Chyi Lin Lee , Zoei Sutton , Jakem Robinson , Ruth Walker , Jake Robinson , Chyi Lini Lee , City Futures Research Center , Environmental Research , South Australian , Professor Chyi Lini Lee , Futures Research , Ecological Informatics , Social Sciences , Associate Professor Ruth Walker , Associate Professor , Associate Professor Martin , Associate Professor Breed , Andrewc Breed , Martinf Breed , Science Fiction ,