Work

Ambient Air Quality Estimation using Supervised Learning Techniques

Year: 2019

Type: article

Abstract: The exponential increase of population in the urban areas has led to deforestation and industrialization that greatly affects the air quality. The polluted air affects the human health. Due to this concern, the prediction of air quality has become a potential research area. For the assessment of a

Source: ICST Transactions on Scalable Information Systems

DOI: 10.4108/eai.29-7-2019.159628

Authors: Jasleen Sethi, Mamta Mittal

Institution: Guru Gobind Singh Indraprastha University

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Sustainable cities and communities

Open Access status: diamond

OpenAlex ID: W4239679667

FWCI: 1.907

Cites: 31

Cited by: 29

Related to: 10