A team of researchers at Rice University and Baylor College of Medicine has developed a new strategy for identifying ...

Its intricate script and right-to-left writing system can ... these challenges through technology-driven solutions. By leveraging artificial intelligence (AI), machine learning (ML) and data ...

The Play ransomware gang has exploited a high-severity Windows Common Log File System flaw in zero-day attacks to gain SYSTEM privileges and deploy malware on compromised systems. The ...

Siddharth Gupta, an expert in artificial intelligence and fraud detection, explores the latest advancements in machine learning techniques aimed at ... An adequate fraud detection system must have ...

In the context of evading dynamic detection ... reinforcement learning (RL) framework, dubbed GAME-RL, which simultaneously optimizes both the perturbing APIs and their insertion positions.

However, its paroxysmal and often asymptomatic nature complicates detection. In this paper, we propose a novel deep-learning model for single-lead ECG signal analysis, combining a convolutional neural ...

Objectives This study aimed to compare the performance of five machine learning algorithms ... these factors are modifiable through lifestyle changes. Furthermore, since the progression of T2DM is ...

Slips, a free software behavioral Python intrusion prevention system (IDS/IPS) that uses machine learning to detect malicious behaviors in the network traffic. Stratosphere Laboratory, AIC, FEL, CVUT ...