Skip to main content
Have a personal or library account? Click to login
Research on Urban Air Quality Prediction System Based on Improved Random Forest Modelling Cover

Research on Urban Air Quality Prediction System Based on Improved Random Forest Modelling

Ecological Chemistry and Engineering S
Volume 32 (2025): Issue 2 (June 2025)
By: ,  ,   and    
Open Access
|Jul 2025
Authors

Authors

Xin Su

Guilin University of Electronic Technology School of Business, Guangxi, China

Yifang Xin

Guilin University of Electronic Technology School of Business, Guangxi, China

Yuekang Yu

Guilin University of Electronic Technology School of Information and Communication, China

Yue Zhao

zhaoyue7319@guet.edu.cn

Guilin University of Electronic Technology School of Business, Guangxi, China
DOI: https://doi.org/10.2478/eces-2025-0011 | Journal eISSN: 2084-4549 | Journal ISSN: 1898-6196
Journal RSS Feed
Language: English
Page range: 213 - 235
Published on: Jul 17, 2025
Published by: Society of Ecological Chemistry and Engineering
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
air quality prediction,
random forest algorithm,
smart city,
bayesian optimisation
Related subjects:
Chemistry,
Sustainable and green chemistry,
Engineering,
Electrical engineering,
Energy engineering,
Life sciences,
Ecology

© 2025 Xin Su, Yifang Xin, Yuekang Yu, Yue Zhao, published by Society of Ecological Chemistry and Engineering
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Volume 32 (2025): Issue 2 (June 2025)
Previous article
Next article