Back to search

Article

Cyclone Intensity Estimation: A Studyof Neural Architecture Search andTransfer Learning in CNNs

2024-03-18

Abstract excerpt

<title>Abstract</title> <p>Tropical cyclones (TCs) are severe weather phenomena that can significantly affect human lives. These events can lead to calamities characterized by strong sustainable winds and enormous waves. We proposed an architecture based on convolutional neural networks (CNNs) to tackle this problem. This method makes use of cyclone infrared images. Using customized FCL architectures, we used tra...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
73217956-b45e-5902-a9a2-160f107bbe8c
DOI
10.21203/rs.3.rs-4093387/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Cyclone Intensity Estimation: A Studyof Neural Architecture Search andTransfer Learning in CNNsDOI 10.21203/rs.3.rs-4093387/v1
Select a neighboring publication to make it the new centre.