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Tropical Cyclone Intensity Prediction using Bayesian Machine Learning with Marine Predators Algorithm on Satellite Cloud Imagery

Due to its wide range of associated hazards, tropical cyclones (TC) become the costliest natural disaster worldwide. A correct diagnosis model for the TC intensity can save property and lives. Unfortunately, intensity forecasting of TC has been a bottleneck and has made it difficult to forecast weat...

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Hlavní autor: Mahmoud Ragab
Médium: Artigo
Jazyk:Inglês
Vydáno: Elsevier 2025-03-01
Edice:Ain Shams Engineering Journal
Témata:
Tropical Cyclones
Machine Learning
Marine Predators Algorithm
Bayesian Belief Network
CapsNet
On-line přístup:http://www.sciencedirect.com/science/article/pii/S2090447925000577
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