Nature

An efficient bearing fault detection strategy based on a hybrid machine learning technique

This study introduces an innovative method for addressing the bearing fault detection problem in rotating machinery. The proposed approach integrates multi-feature extraction, advanced feature ...
Cancer Therapy Advisor

Catheter-Based OCT May Help ID Early Endometrial Cancer

A quick optical biopsy using optical coherence tomography (OCT) may improve endometrial cancer screening, according to a study published online June 3 in npj ...
Nature

Classification of fallers in Parkinson’s disease through machine learning based feature analysis

Falls represent a significant contributor to morbidity and mortality among the elderly 1. In particular, the fall rate in Parkinson’s disease (PD) is around 60% on average, with a recurrence rate of ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...