Abstract Image data classification using machine learning is an effective method for detecting atmospheric phenomena. However. extreme weather events with a small number of cases cause a decrease in classification prediction accuracy owing to the imbalance in data between the target class and the other classes. To build a highly accurate classification model. https://bellfordtoysandhobbiers.shop/product-category/bobble-head/
Classification of imbalanced cloud image data using deep neural networks: performance improvement through a data science competition
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