Thunderstorm Prediction Model Using SMOTE Sampling and Machine Learning Approach

• Main Authors: Shirley, Rufus, Noor Azlinda, Ahmad, Zulkurnain, Abdul-Malek, Noradlina, Abdullah
• Format: Proceeding
• Language: English
• Published: 2023
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://ir.unimas.my/id/eprint/42856/4/Thunderstorm.pdf; http://ir.unimas.my/id/eprint/42856/; https://ieeexplore.ieee.org/document/10182046
• Institution: Universiti Malaysia Sarawak

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 plannin...