ORNL developed a machine learning model for grid technology with under 5% error, ensuring accurate power management.

The ongoing shift toward a digitally transformed and increasingly intelligent energy grid was among the overriding themes at ...

Can foundation models, combined with AI technology, improve SIEM systems while enhancing security efficiency between these ...

Siddharth Gupta, an expert in artificial intelligence and fraud detection, explores the latest advancements in machine ... deep learning architectures—particularly CNNs—for fraud detection. These ...

This scenario accentuates the necessity for deploying effective anomaly detection (AD) mechanisms to protect these ... innovative framework for early-stage AD in integrated IT-OT power grid ...

Since it holds such an important position, making it smart ... the theft detection. During this time, the warning LED and buzzer turn ON to alert the surroundings. After reconnecting, it will work ...

A detailed evaluation of which peak provides the most reliable signal for creatinine detection will be explored using machine learning in a later section ... We also applied a grid search brute-force ...

This repository contains materials for a hands-on training on phishing detection using machine learning and explainable AI. Participants will explore EDA, train multiple models, evaluate their ...

Officers from the Highway Patrol Unit, Cooktown, Mareeba and Cairns conducted Operation Smart Flow between February 24 and April 25 ... fail to produce licence, using mobile phones, exceeding seating ...

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