The Intrusion Detection System (IDS) is an effective tool utilized in cybersecurity systems to
detect and identify intrusion attacks. With the increasing volume of data generation, the …

The internet of things (IoT) has emerged as a pivotal technological paradigm facilitating
interconnected and intelligent devices across multifarious domains. The proliferation of IoT …

Machine Learning is widely used in cybersecurity for detecting network intrusions. Though
network attacks are increasing steadily, the percentage of such attacks to actual network …

The article describes an innovative methodology for the design and experimental validation
of monitoring and anomaly detection algorithms, with a particular focus on the aging …

In recent decades, an exponential surge in technological advancements has significantly
transformed various aspects of daily life. The proliferation of indispensable objects such as …

Insulators find extensive use across diverse facets of power systems, playing a pivotal role in
ensuring the security and stability of electrical transmission. Detecting insulators is a …

Two problems concerning detecting change-points in linear regression models are
considered. One involves discontinuous jumps in a regression model and the other involves …

Sarcasm and irony represent intricate linguistic forms in social media communication,
demanding nuanced comprehension of context and tone. In this study, we propose an …

Different types of surface defects will occur during the production of strip steel. To ensure
production quality, it is essential to classify these defects. Our research indicates that two …

The integration of Artificial Intelligence (AI) models in Industrial Internet of Things (IIoT)
systems has emerged as a pivotal area of research, offering unprecedented opportunities for …