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

Сохранить в:

Библиографические подробности
Опубликовано в::	Algorithms vol. 18, no. 3 (2025), p. 174
Главный автор:	Liu, Binglin
Другие авторы:	Zeng, Weijia, Liu, Weijiang, Peng, Yi, Yao, Nini
Опубликовано:	MDPI AG
Предметы:	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-ссылка:	Citation/Abstract Full Text + Graphics Full Text - PDF
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Ваш комментарий будет первым!