In recent years, deep learning has revolutionized the field of machine learning, for computer
vision in particular. In this approach, a deep (multilayer) artificial neural network (ANN) is …

Network anomaly detection is an important and dynamic research area. Many network
intrusion detection methods and systems (NIDS) have been proposed in the literature. In this …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

This paper presents a comprehensive overview of modelling, simulation and implementation
of neural networks, taking into account that two aims have emerged in this area: the …

Computational Intelligence comprises concepts, paradigms, algorithms, and
implementations of systems that are supposed to exhibit intelligent behavior in complex …

Most current Artificial Neural Network (ANN) models are based on highly simplified brain
dynamics. They have been used as powerful computational tools to solve complex pattern …

Credit card is one of the popular modes of payment for electronic transactions in many
developed and developing countries. Invention of credit cards has made online transactions …

Nature-inspired optimization algorithms, especially evolutionary computation-based and
swarm intelligence-based algorithms are being used to solve a variety of optimization …

Inspired by the principles of the biological nervous system, neuromorphic engineering has
brought a promising alternative approach to intelligence computing with high energy …

Abstract Particle Swarm Optimization (PSO) algorithm is a nature-inspired meta-heuristic
that has been utilized as a powerful optimization tool in a wide range of applications since its …