Artificial intelligence techniques have grown rapidly in recent years, and their applications in
practice can be seen in many fields, ranging from facial recognition to image analysis. In the …

Swarm Intelligence (SI) has proven to be useful in solving issues that are difficult to solve
using traditional mathematical methodologies by using a collective behavior of a …

Ensuring the security of critical infrastructures and information systems has always been a
challenging problem. Intrusion Detection Systems (IDS) have become an indispensable …

Rodents are a vital part of the natural succession chain of the alpine grassland ecosystem,
and rodent activities have an important impact on alpine grassland ecology. Moderate …

In recent years, the widespread use of the Internet has created many issues, especially in
the area of cybersecurity. It is critical to detect intrusions in network traffic, and researchers …

Software defined network (SDN) and network function virtualization (NFV) are the two key
technologies that support a large scale 5G environment composed of bunches of users. In …

A variety of nonlinear optimization techniques have been used for measuring effectiveness
of Intrusion Detection Systems (IDS). The variability of these optimization techniques …

High-dimensional datasets, where the number of features far exceeds the number of
observations, present significant challenges in feature selection and model performance …

Smart meters are central for renewable electricity generation and distributed integration.
Smart metering concerns some intelligent metering devices use at the location of customer …

This chapter explores the innovative fusion of Artificial Bee Colony (ABC) algorithms with
deep learning techniques, providing a comprehensive analysis of the synergistic …