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. 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. Environment Phys.org – latest science and technology news stories
Utilizing machine learning models for new directions in housing planning
