Data-Driven Framework for Understanding and Predicting Air Quality in Urban Areas

Monitoring, predicting, and controlling the air quality in urban areas is one of the effective solutions for tackling the climate change problem. Leveraging the availability of big data in different domains like pollutant concentration, urban traffic, aerial imagery of terrains and vegetation, and w...

Celý popis

Podrobná bibliografie

Vydáno v:	Frontiers in big data Ročník 5; s. 822573
Hlavní autoři:	Babu Saheer, Lakshmi, Bhasy, Ajay, Maktabdar, Mahdi, Zarrin, Javad
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland Frontiers Media S.A 25.03.2022
Témata:	aerial view image recognition Big Data climate change mitigation machine learning and deep learning algorithms regression based prediction algorithms urban air quality urban vegetation detection urban vegetation detection climate change mitigation machine learning and deep learning algorithms aerial view image recognition regression based prediction algorithms urban air quality cost effective modeling
ISSN:	2624-909X, 2624-909X
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!