Classification of Particulate Matter (PM2.5) Concentrations Using Feature Selection and Machine Learning Strategies
Authors
Caroline Mongina Matara
carolinematara@students.uonbi.ac.ke
University of Nairobi, Department of Civil & Construction Engineering, Nairobi, Kenya
Simpson Osano Nyambane
University of Nairobi, Department of Civil & Construction Engineering, Nairobi, Kenya
Elisha Akech Ochungo
Multimedia University, Department of Civil, Faculty of Engineering and Technology (FoET), Nairobi, Kenya
Afaq Khattak
Tongji University, College of Transportation Engineering, Shanghai, China
DOI: https://doi.org/10.2478/logi-2024-0008 | Journal eISSN: 2336-3037
Language: English
Page range: 85 - 96
Submitted on: Nov 14, 2023
Accepted on: Jun 3, 2024
Published on: Jul 17, 2024
Published by: Institute of Technology and Business in České Budějovice
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Related subjects:
© 2024 Caroline Mongina Matara, Simpson Osano Nyambane, Amir Okeyo Yusuf, Elisha Akech Ochungo, Afaq Khattak, published by Institute of Technology and Business in České Budějovice
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.