Modelling and investigating the impacts of climatic variables on ozone concentration in Malaysia using correlation analysis with random forest, decision tree regression, linear regression, and support vector regression
Climate change is generally known to impact ozone concentration globally. However, the intensity varies across regions and countries. Therefore, local studies are essential to accurately assess the correlation of climate change and ozone concentration in different countries. This study investigates...
Saved in:
Main Authors: | Balogun, A.-L., Tella, A. |
---|---|
Format: | Article |
Published: |
Elsevier Ltd
2022
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127109982&doi=10.1016%2fj.chemosphere.2022.134250&partnerID=40&md5=4b596a4be365dc2b6a8c00ef70bbb10b http://eprints.utp.edu.my/33040/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Modelling and investigating the impacts of climatic variables on ozone concentration in Malaysia using correlation analysis with random forest, decision tree regression, linear regression, and support vector regression
by: Balogun, A.-L., et al.
Published: (2022) -
Multiple Linear Regression (MLR) and Principal Component Regression (PCR) for ozone (O3) concentrations prediction
by: Mohd Napi N.N.L., et al.
Published: (2023) -
Prediction of Future Ozone Concentration for Next Three Days Using Linear Regression and Nonlinear Regression Models
by: Mubin Zahari, N., et al.
Published: (2020) -
Prediction of Future Ozone Concentration for Next Three Days Using Linear Regression and Nonlinear Regression Models
by: Mubin Zahari N., et al.
Published: (2023) -
Diurnal fluctuations of ozone concentrations and its precursors and prediction of ozone using multiple linear regressions
by: Nor Azam Ramli,, et al.
Published: (2010)