Improved Ozone Level Detection through Feature Selection with Modified Whale Optimization Algorithm
This study presents a new approach for ozone level detection through feature selection by the modified Whale Optimization Algorithm (mWOA). This study aims to enhance the accuracy and efficiency of ozone level prediction models by selecting the most informative features from the dataset. As air qual...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
QAJ
2024
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/11099/1/J17608_ad214b23c8adfc74a66aed41866d6f7d.pdf http://eprints.uthm.edu.my/11099/ https://doi.org/10.58429/qaj.v4n1a466 |
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