Thunderstorm Prediction Model Using SMOTE Sampling and Machine Learning Approach-Reference-Cited by-同舟云学术

Thunderstorm Prediction Model Using SMOTE Sampling and Machine Learning Approach

Published:2023-06-12 Issue: Volume: Page:
ISSN:
Container-title:2023 12th Asia-Pacific International Conference on Lightning (APL)
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Author:

Rufus Shirley Anak¹,Ahmad Noor Azlinda²,Abdul-Malek Zulkurnain²,Abdullah Noradlina³

Affiliation:

1. Universiti Malaysia Sarawak (UNIMAS) & Universiti Teknologi Malaysia (UTM),Malaysia

2. Institute of High Voltage & High Current, Universiti Teknologi Malaysia,Malaysia

3. TNB Research Sdn. Bhd. & Universiti Tenaga Nasional,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10181242/10181320/10182046.pdf?arnumber=10182046

Reference29 articles.

1. Monitoring the Association between GPS PWV and Lightning Activity during the 2009 Winter Monsoon over Bangi Malaysia;suparta;2011 International Conference on Environment Science and Engineering,2011

2. Correlation analysis between lightning flashes and rainfall rate during a flash flood thunderstorm

3. On the Performance of the Python Programming Language for Serial and Parallel Scientific Computations

4. Welcome to Vaisala’s Interactive Global Lightning Density Map!,2022

5. SMOTE: Synthetic Minority Over-sampling Technique

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