Nature

Non-technical loss detection in power distribution networks using machine learning

Non-technical losses (NTL) in power distribution, such as illegal meter tapping, cause significant financial losses for utilities, amounting to billions annually. This study evaluates various machine ...
Nature

Intrusion detection system based on machine learning using least square support vector machine

Cyber security faces tremendous hurdles as a result of the rapid development and widespread adoption of technologies like 5G, IoT, cloud computing, and others that have increased network scale, ...
European Medical Journal

Machine Learning Links Gut Microbiome to Improved DVT Detection

AI model suggests deep vein thrombosis may be identified more accurately using gut microbiome profiles. Read more.
Opinion
Security BoulevardOpinion

When Malware Becomes Unique on Every Machine, Detection Stops Being a Strategy

The worm that writes its own attack for every machine it encounters is not a warning about what is coming. It is a demonstration of what is already here. The question is whether the industry's ...
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 ...