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 ...

Abstract: Recently, Denoising Diffusion Models have achieved outstanding success in generative image modeling and attracted significant attention in the computer vision community. Although a ...

4 keys to writing modern Python Here’s what you need to know (and do) if you want to write Python like it’s 2025, not 2005. How to use uv, the super-fast Python package installer Last but not least, ...

Abstract: Although Convolutional Neural Networks (CNNs) have achieved remarkable success in image classification, most CNNs use image datasets in the Red-Green-Blue (RGB) color space (one of the most ...

Humans are innately curious and we're surrounded by people and things that pique our interest. Maybe a cute pair of shoes catches your eye while scrolling through your social media newsfeeds. Or it ...

Imagine if you could hide a secret message within a photo, and no one could tell by just looking at it. This is the magic of steganography—a powerful technique that allows us to embed secret ...

From spines on neurons to pollen on an insect’s eye, the winners of Nikon’s Small World photo contest offer a kaleidoscopic glimpse into a tiny world. These water fleas (Daphnia sp.) can reproduce ...

In response to the problem of inadequate utilization of local information in PolSAR image classification using Vision Transformer in existing studies, this paper proposes a Vision Transformer method ...