Work

Predicting PM2.5 Air Quality Using Random Forest Regression Enhanced with Polynomial Features

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Intelligent Systems

DOI: 10.1109/is61756.2024.10705219

Authors: Kunal Goyal, Shreya Goyal

Institutions: Georgia Institute of Technology, Indiana University – Purdue University Indianapolis

Language: English

Topic: Air Quality Monitoring and Forecasting

Subfield: Environmental Engineering

Field: Environmental Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: closed

OpenAlex ID: W4403278846

FWCI: 12.7

Cites: 16

Cited by: 12

Related to: 10