A Novel Cyclone Detection System Using Deep Learning
Author:
Affiliation:
1. DRIEMS University,Department of CSE,Cuttack,Odisha
2. School of Professional Studies, DRIEMS University,Cuttack,Odisha
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10624684/10624740/10625213.pdf?arnumber=10625213
Reference14 articles.
1. Prediction of subsurface oceanographic parameter using machine learning technique based on long term historical in-situ measurements
2. A 1024-Member Ensemble Data Assimilation with 3.5-Km Mesh Global Weather Simulations
3. Cyclone Identify using Two-Branch Convolutional Neural Network from Global Forecasting System Analysis
4. Tropical Cyclone Forecast Using Multitask Deep Learning Framework
5. A Performance-Portable Nonhydrostatic Atmospheric Dycore for the Energy Exascale Earth System Model Running at Cloud-Resolving Resolutions.
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