Advances in image processing and machine learning (ML) substantially affected unmixing. This article provides an overview of advanced and conventional unmixing approaches. In addition, we draw a ...

A face recognition technique based on binary image using logistic regression and neural network is proposed. In the proposed technique, a color image is converted to gray image and then denoised using ...

This project uses the Kaggle competition dataset from the "ML with Python Course Project" to predict campus recruitment outcomes. It includes preprocessing, EDA, feature engineering, and model ...

48% of creatives identify as neurodivergent: Here’s what the numbers say At least 25% of neurodiverse creative industry professionals have faced discrimination or bias at work, according to a report ...

keywords: Vision Transformer, Swin Transformer, convolutional neural networks, image registration This is a PyTorch implementation of my paper: Chen, Junyu, et al. "TransMorph: Transformer for ...

The Royal Surrey Foundation NHS Trust has said a "record-breaking" number of patients were treated at a hospital unit last month.