Tropical Cyclone Identification and Alert System using AlexNet and Deep CNN

Author(s)	Vijay Kumar B, V. Akhila Sai, Gondyala Ganesh, K Hemanth Sagar
Country	India
Abstract	Tropical cyclones (TCs) are catastrophic weather occurrences that can inflict massive damage in coastal regions across the world. Weather nowcasting, which is the weather forecast for a short time period, is one of the most challenging topics in meteorology. Weather radar and satellite are essential technologies for nowcasting, but issuing nowcasting warnings based on radar and satellite data is a difficult process. This proposed approach is of a deep learning approach for TC identification from aerial imagery, which includes a Deep Convolutional Neural Network of Alex-Net architecture as the classifier.
Keywords	Convolutional neural network (CNN), Deep learning, AlexNet, Deep Convolutional neural network (Deep- CNN), Tropical cyclone (TC), Satellite Images
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 2, March-April 2023
Published On	2023-04-23
Cite This	Tropical Cyclone Identification and Alert System using AlexNet and Deep CNN - Vijay Kumar B, V. Akhila Sai, Gondyala Ganesh, K Hemanth Sagar - IJFMR Volume 5, Issue 2, March-April 2023. DOI 10.36948/ijfmr.2023.v05i02.2581
DOI	https://doi.org/10.36948/ijfmr.2023.v05i02.2581
Short DOI	https://doi.org/gr6h76

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