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

Guardado en:

Bibliografiske detaljer
Udgivet i:	Algorithms vol. 18, no. 3 (2025), p. 174
Hovedforfatter:	Liu, Binglin
Andre forfattere:	Zeng, Weijia, Liu, Weijiang, Peng, Yi, Yao, Nini
Udgivet:	MDPI AG
Fag:	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 adgang:	Citation/Abstract Full Text + Graphics Full Text - PDF
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Vær først til at give en kommentarø!