Thunderstorm prediction model using SMOTE sampling and machine learning approach.

• Main Authors: Rufus, Shirley Anak, Ahmad, Noor Azlinda, Abdul-Malek, Zulkurnain, Abdullah, Noradlina
• Format: Conference or Workshop Item
• Published: 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://eprints.utm.my/107746/; http://dx.doi.org/10.1109/APL57308.2023.10182046
• Institution: Universiti Teknologi Malaysia

Thunderstorms are one of the most destructive phenomena worldwide and are primarily associated with lightning and heavy rain that cause human fatalities, urban floods, and crop damage. Therefore, predicting thunderstorms with reasonable accuracy is one of the crucial requirements for the planning an...