Design of an early alert system for PM2.5 through a stochastic method and machine learning models

Autor:	Carlos Arturo Peña Rincón, Nathalia Celis, Hermes Martínez, Ellie Anne López-Barrera, Ricardo Arenas, Alejandro Casallas, Camilo Ferro
Rok vydání:	2022
Předmět:	Computer science business.industry Geography Planning and Development Artificial intelligence Management Monitoring Policy and Law business Machine learning computer.software_genre Alert system computer
Zdroj:	Environmental Science & Policy. 127:241-252
ISSN:	1462-9011
DOI:	10.1016/j.envsci.2021.10.030
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::dbd8f2171b595e6b75a10d0d8c70dffe https://doi.org/10.1016/j.envsci.2021.10.030 Zobrazit plný text záznamu Full Text from ScienceDirect