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 qua...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Qubahan
2024-03-01
|
| Series: | Qubahan Academic Journal |
| Online Access: | https://journal.qubahan.com/index.php/qaj/article/view/466 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|