Machine learning algorithm shows 98% disease detection accuracy
A groundbreaking machine learning algorithm has demonstrated an impressive 98% accuracy in diagnosing various diseases by analysing the colour of...
Detection
EaTVul: Demonstrating Over 83% Success Rate in Evasion Attacks on Deep Learning-Based Software Vulnerability Detection Systems
Software vulnerability detection has seen substantial advancements in integrating deep learning models, which have shown high accuracy in identifying potential...
Deep Ensemble learning and quantum machine learning approach for Alzheimer’s disease detection
The focus of this work is the development of an ensemble DL-based quantum machine learning classification model for the diagnosis...
Chinese scientists increase F-22 fighter jet’s radar signature 60,000 times with new detection method: study
Their detection method covered a vast battlefield of around 63,000 sq km (24,300 square miles), ensuring that regardless of the...
