Loading article...
Loading article...
Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55353
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Air pollution is essentially the discharge of pollutants into the atmosphere that affect the earth and human health. It is undoubtedly one of the most serious dangers that humanity has ever faced. As a result, forests, crops, animals, and other things suffer. To prevent this issue, the transportation sector must forecast air quality using toxins using machine learning techniques. As a result, forecasting and assessment of air quality have grown in popularity as research subjects. The objective is to investigate machine learning-based methods for the most accurate air quality prediction.
KEYWORDS
Publication Date
12/20/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
Documents
Article Views
0
Total views since publication
PDF Downloads
2
Total downloads since publication
Geographic Reach
5
Digital Preservation: This article is permanently archived on Zenodo and complies with all data preservation standards across major indexing platforms.
Plagiarism Screening
This manuscript has been checked for plagiarism using TurnitinPlagiarismChecker software.
Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
Related research in the same subject area
Loading similar articles...