The present review paper provides an overview of the recent advances in AI-based
techniques for the design and optimization of power electronic converters. There is an …

The widespread application of ultradense and multivariate Internet of Things (IoT) benefits
from network function virtualization (NFV) that provides flexible frameworks and effective …

Outlier detection is essential for identifying patterns that deviate from expected normal
representations in data. Real-world challenges such as the lack of labeled data, noise, and …

Intrusion detection systems (IDS) play a critical role in network security by monitoring
systems and network traffic to detect anomalies and attacks. This study explores the different …

Anomaly detection is critical for network security, fraud detection, and system health
monitoring applications. Traditional methods like statistical approaches and distance-based …

Water quality assessment plays a crucial role in various aspects, including human health,
environmental impact, agricultural productivity, and industrial processes. Machine learning …

With fraud becoming more sophisticated, conventional detection methods are no longer
effective, resulting in a worldwide impact on customers and organizations. To tackle this …

The significance of anomaly detection transcends industries and impacts various facets of
daily life and societal functioning. In the world of finance, it serves as a guardian of economic …

In the contemporary landscape, social media has emerged as a dominant medium via which
individuals are able to articulate a wide range of emotions, encompassing both positive and …

This chapter covers the foundations of Network Traffic Monitoring and Analysis (NTMA) by
providing a thorough review of its fundamental ideas while highlighting the crucial part it …