المقتنيات: Thunderstorm Prediction Model Using SMOTE Sampling and Machine Learning Approach

Thunderstorm Prediction Model Using SMOTE Sampling and Machine Learning Approach

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...

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التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Rufus S.A., Ahmad N.A., Abdul-Malek Z., Abdullah N.
مؤلفون آخرون:	57200580055
التنسيق:	Conference Paper
منشور في:	Institute of Electrical and Electronics Engineers Inc. 2024
الموضوعات:	Lightning Machine Learning Meteorological Performance Metrics SMOTE Thunderstorm Thunderstorm Prediction Model Adaptive boosting Air traffic control Decision trees Flood control Floods Learning systems Thunderstorms Weather forecasting CG lightning Gradient boosting Heavy rains Machine learning approaches Machine-learning Performance metrices Prediction modelling Thunderstorm prediction model Machine learning
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Thunderstorm Prediction Model Using SMOTE Sampling and Machine Learning Approach

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