The project titled "Medical Image Classification for Disease Diagnosis Using Convolutional Neural Networks" aims to develop a robust and accurate machine learning model for the automatic ...

Satellite image classification is a meaningful task, such as helping recognize the damaged houses. Traditional methods like ANN and BoW are not good at satellite image classification.

While traditional convolutional neural networks and fixed-resolution transformer models have made notable strides, they often struggle to generalize across varying topographies and spectral ...

Convolutional neural network has an obvious advantage to deal with image classification, compared to other deep learning algorithms. In this paper, we review current methods for classifying images and ...