Executive Summary - Artificial intelligence has moved from research laboratories into deployed defense systems: autonomous ...

An AI-driven automation solution developed by FPT Corporation has been granted a machine learning patent in Taiwan, marking ...

Researchers explore quantum machine learning to detect financial risk faster in high-frequency trading, achieving promising accuracy in experimental models.

AI-powered solution automates global trade product classification and improves compliance accuracy SAN JOSE, CA, UNITED ...

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...

Managing complex medical conditions often requires the simultaneous use of multiple different drugs, referred to as polypharmacy. While necessary, this significantly increases the risk of drug-drug ...

Abstract: Rule representations significantly influence the search capabilities and decision boundaries within the search space of learning classifier systems (LCSs). However, it is very difficult to ...

A study published in The Journal of Engineering Research (TJER) at Sultan Qaboos University presents an advanced intrusion detection system (IDS) designed to improve the accuracy and efficiency of ...

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...

Dieses System automatisiert die Klassifizierung und Priorisierung von IT-Support-Tickets mittels Machine Learning. Es erreicht eine Klassifizierungsgenauigkeit von 91.4% für Kategorien und 87.8% für ...