Improving Air Quality Prediction Models for Banting: A Performance Evaluation of Lasso, mRMR, and ReliefF

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Improving Air Quality Prediction Models for Banting: A Performance Evaluation of Lasso, mRMR, and ReliefF

This study explores the effectiveness of various feature selection methods in forecasting next-day PM2.5 levels in Banting, Malaysia. The accurate prediction of PM2.5 concentrations is crucial for public health, enabling authorities to take timely actions to mitigate exposure to harmful pollutants....

書目詳細資料
發表在:	INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS
Main Authors:	Arafin, Siti Khadijah; Mazumdar, Suvodeep; Ibrahim, Nurain
格式:	Article
語言:	English
出版:	SCIENCE & INFORMATION SAI ORGANIZATION LTD 2025
主題:	Computer Science
在線閱讀:	https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-record/WOS:001441763100001

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