Feature Selection Methods Using RBFNN Based on Enhance Air Quality Prediction: Insights from Shah Alam
This study examines the predictive efficiency of several feature selection approaches in air quality models aimed to predict next-day PM2.5 concentrations in Shah Alam, Malaysia. Air pollution in urban areas is a significant public health concern, and accurate prediction models are essential for tim...
| Published in: | INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS |
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| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
SCIENCE & INFORMATION SAI ORGANIZATION LTD
2024
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| Subjects: | |
| Online Access: | https://www-webofscience-com.uitm.idm.oclc.org/wos/woscc/full-recordWOS:001378221800001 |