Algorithms Facilitating the Observation of Urban Residential Vacancy Rates: Technologies, Challenges and Breakthroughs

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Detalhes bibliográficos
Publicado no:	Algorithms vol. 18, no. 3 (2025), p. 174
Autor principal:	Liu, Binglin
Outros Autores:	Zeng, Weijia, Liu, Weijiang, Peng, Yi, Yao, Nini
Publicado em:	MDPI AG
Assuntos:	China Vacancies Feature extraction Accuracy Data processing Urban planning Data mining Spatiotemporal data Data sources Questionnaires Remote sensing Housing Data integration Machine learning Economic factors Urban development Heterogeneity Efficiency Redundancy Big Data Data integrity Supply & demand Spatial data Artificial intelligence Prediction models Developers Decision making Response rates Algorithms Sustainable development Methods Geographic information systems Complexity Deep learning Ensemble learning Urbanization Cities Residential buildings
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