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

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Bibliografski detalji
Izdano u:	Algorithms vol. 18, no. 3 (2025), p. 174
Glavni autor:	Liu, Binglin
Daljnji autori:	Zeng, Weijia, Liu, Weijiang, Peng, Yi, Yao, Nini
Izdano:	MDPI AG
Teme:	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
Online pristup:	Citation/Abstract Full Text + Graphics Full Text - PDF
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