Stock market trading has been a subject of interest to investors, academicians, and
researchers. Analysis of the inherent non-linear characteristics of stock market data is a …

This paper provides a comprehensive review regarding the applications of particle swarm
optimization (PSO) in the railway domain. One hundred and thirty nine (139) publications in …

This chapter will introduce the particle swarm optimization (PSO) algorithm giving an
overview of it. In order to formally present the mathematical formulation of PSO algorithm, the …

The structural health monitoring (SHM) approach plays a key role not only in structural
engineering but also in other various engineering disciplines by evaluating the safety and …

Clustering is a significant data mining task which partitions datasets based on similarities
among data. This technique plays a very important role in the rapidly growing field known as …

The control of the optical properties of ZnO nanostructured thin films by using different
dopant elements paves the way for the development of potential materials for photonic and …

Data clustering is related to the split of a set of objects into smaller groups with common
features. Several optimization techniques have been proposed to increase the performance …

Widely used software packages might still be deficient when it comes to optimal pump
scheduling as they allow concurrent Variable Speed Pumps (VSPs) at low speeds and low …

Unmanned aerial vehicles (UAVs) can be deployed as backup aerial base stations due to
cellular outage either during or post natural disaster. In this paper, an approach involving …

In the past ten years, due to the rapid growth of the Internet, a huge number of cyber-crimes
have been committed on the Internet. One of the crucial obstacles' user's encounters is the …