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

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Pubblicato in:	Algorithms vol. 18, no. 3 (2025), p. 174
Autore principale:	Liu, Binglin
Altri autori:	Zeng, Weijia, Liu, Weijiang, Peng, Yi, Yao, Nini
Pubblicazione:	MDPI AG
Soggetti:	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
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
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