Hybrid modeling and prediction of oyster norovirus outbreaks
This paper presents a hybrid model for predicting oyster norovirus outbreaks by combining the Artificial Neural Networks (ANNs) and Principal Component Analysis (PCA) methods and using the Moderate Resolution Imaging Spectroradiometer (MODIS) satellite remote-sensing data. Specifically, 10 years (20...
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| Main Authors: | , |
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| Format: | Book |
| Published: |
IWA Publishing,
2021-04-01T00:00:00Z.
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| Online Access: | Connect to this object online. |
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