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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| Auteurs principaux: | , |
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| Format: | article |
| Langue: | EN |
| Publié: |
IWA Publishing
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/f8d3c743924440979b5e000fa1efb0a8 |
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