Tropical Cyclone Predicting System Model based on Ensemble Learning-Reference-Cited by-同舟云学术

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Tropical Cyclone Predicting System Model based on Ensemble Learning

Published:2022-11-09 Issue: Volume: Page:
ISSN:
Container-title:2022 1st International Conference on Computational Science and Technology (ICCST)
language:
Short-container-title:

Author:

Kirubanantham P.¹,Saranya A.²,Kumar D. Senthil³

Affiliation:

1. SRM Institute of Science and Technology,Department of Computing Technologies,Chennai,India

2. SRM Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,India

3. Sri Sai Ram Engineering College,Department of Information Technology,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10040259/10040268/10040324.pdf?arnumber=10040324

Reference14 articles.

1. Using an ARIMA-GARCH Modeling Approach to Improve Subway Short-Term Ridership Forecasting Accounting for Dynamic Volatility

2. Combining fully convolutional and recurrent neural networks for 3D biomedical image segmentation;chen;Proc Adv Neural Inf Process Syst,2016

3. Tropical Cyclone Intensity Prediction Using Deep Convolutional Neural Network

4. Performance of tropical cyclone forecasts in the western North Pacific in 2017

5. A Novel Data-Driven Tropical Cyclone Track Prediction Model Based on CNN and GRU With Multi-Dimensional Feature Selection

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