Transfer Learning with ResNet3D-101 for Global Prediction of High Aerosol Concentrations

Transfer Learning with ResNet3D-101 for Global Prediction of High Aerosol Concentrations

In order to better predict the high aerosol concentrations associated with air pollution and climate change, a machine learning model was developed using transfer learning and the segmentation process of global satellite images. The main concept of transfer learning lies on convolutional neural netw...

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Bibliographic Details
Main Authors: Dušan P. Nikezić, Dušan S. Radivojević, Ivan M. Lazović, Nikola S. Mirkov, Zoran J. Marković
Format: Article
Language:English
Published: MDPI AG 2024-03-01
Series:Mathematics
Subjects:
transfer learning
ResNet3D-101
aerosol optical thickness
distance and time domain criteria
early warning system
Online Access:https://www.mdpi.com/2227-7390/12/6/826

Internet

https://www.mdpi.com/2227-7390/12/6/826

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