To obtain light ensemble model through clearly explained effective ensemble member selection and finding data representation in various valuable forms are major challenges in medical image ...

However, because of the specificity of the differences in hyperspectral image data bands, the current hyperspectral image classification (HSIC) field has not proposed a better general model training ...

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MNIST_ML_Image_Classifier: Deep Learning Handwritten Digit Recognition Hey there! 👋 I am Francis Okorie Iyeke-Kanu, and this is my implementation of a production-ready Convolutional Neural Network ...

Fine-grained image classification tasks face challenges such as difficulty in labeling, scarcity of samples, and small category differences. To address this problem, this study proposes a novel ...