Rolling bearings are essential components in a wide range of equipment, such as
aeroplanes, trains, and wind turbines. Bearing failure has the potential to result in complete …

The global prevalence of cardiovascular diseases (CVDs) as a leading cause of death
highlights the imperative need for refined risk assessment and prognostication methods. The …

Blockchain is recognized for its robust security features, and its integration with Internet of
Things (IoT) systems presents scalability and operational challenges. Deploying Artificial …

This research delves into real-time anomaly detection in enormous-scope sensor networks,
employing Isolation Forest, One-Class SVM, Local Outlier Factor, and Recursive Partitioning …

Classifying the flow subsequences of sensor networks is an effective way for fault detection
in the Industrial Internet of Things (IIoT). Traditional fault detection algorithms identify …

The world is becoming more and more tied to the Internet of Things (IoT) technology. It is
present in almost every era: healthcare, agriculture, education, industry, etc. This technology …

The rapid application of Internet of Things (IoT) devices across various sectors, including
smart homes, industrial automation, and healthcare, has realized the vision of the Industrial …

Efficient detection of anomalies/failures in the cooling system of Variable Frequency Drive
(VFD) is important to reduce costs linked to downtime periods caused by overheating of …

This research proposes a novel approach for detecting and mitigating Advanced Persistent
Threats (APTs) in cloud computing infrastruc ture, offering more comprehensive protection …

Anomaly detection is crucial for maintaining the operational integrity and efficiency of
complex systems. Conventional methods, however, often fall short in addressing the …