Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization

Improving air quality prediction using hybrid BPSO with BWAO for feature selection and hyperparameters optimization

Abstract Air pollution poses a significant threat to public health and environmental sustainability, necessitating accurate predictive models for effective air quality management. This study uses machine learning techniques to forecast air quality through utilizing the annual AQI dataset obtained fr...

Full description

Saved in:
Bibliographic Details
Main Authors: Mohamed S. Sawah, Hela Elmannai, Alaa A. El-Bary, Kh. Lotfy, Osama E. Sheta
Format: Article
Language:English
Published: Nature Portfolio 2025-04-01
Series:Scientific Reports
Subjects:
Air quality prediction
Air quality index (AQI)
Hybrid optimization
Feature selection
BPSO-BWAO-RF
Online Access:https://doi.org/10.1038/s41598-025-95983-y
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1038/s41598-025-95983-y

Similar Items