This project implements a Support Vector Machine (SVM) classifier to identify astronomical objects from SDSS (Sloan Digital Sky Survey) FITS images into three categories: ...
An automated MATLAB application for brain tumor detection and segmentation from MRI images. This project uses image processing and a Support Vector Machine (SVM) classifier to identify and highlight ...
Alterations in brain structure have been suggested to be associated with bulimia nervosa (BN). This study aimed to employ machine learning (ML) methods based on diffusion tensor imaging (DTI) to ...
Abstract: Animal image classification is a crucial task in various domains, including wildlife monitoring, biodiversity conservation, and veterinary research. Traditional classification methods often ...
The fightback against the misuse of ultra-processed food (UPF) and NOVA classification terminology to demonise food and drinks confused as ‘unhealthy’ by consumers has begun. An open-letter penned and ...
Abstract: Image classification is one of the classical image processing problems. There are various approaches such as Support Vector Machine, Artificial Neural Networks, Convolutional Neural Networks ...