Tech Xplore

Photonic chips advance real-time learning in spiking neural systems

Researchers have developed photonic computing chips that overcome key limitations for a type of neural network known as a ...
IEEE

Predictive Analysis of Network-Based Attacks by Hybrid Machine Learning Algorithms Utilizing Bayesian Optimization, Logistic Regression, and Random Forest Algorithm

Abstract: These days, intrusion detection systems are one of the newest trends in society. These technologies serve as a defense against a variety of security breaches, the number of which has been ...
IEEE

DM-IDS—A Network Intrusion Detection Method Based on Dual-Modal Fusion

Abstract: The machine learning-based approach to network intrusion detection presents a groundbreaking research paradigm, positioned to replace traditional rule-based and signature-based methods.