Quantum computers have made significant progress in the last two decades showing great
potential in tackling some of the most challenging problems in computing. This ongoing …

Abstract The Marine Predators Algorithm (MPA) is a swarm intelligence algorithm developed
based on the foraging behavior of the ocean's predators. This algorithm has drawbacks …

Various real-time processes are effectively represented with a fractional nonlinear
autoregressive exogenous (F-NARX) model where estimation of model parameters is …

Blade tip-timing (BTT) is a direct blade vibration monitoring technique and how to use under-
sampled BTT signals for blade damage detection is still challenging under variable …

In recent years, quadcopter-type unmanned aerial vehicles have been preferred in many
engineering applications. Because of its nonlinear dynamic model that makes it hard to …

Multi objective optimization (MOO) is very important in structural engineering, especially in
truss design where a trade off between weight reduction and compliance is needed to …

The article presents an algorithm and optimization software designed for the optimal
configuration of a tuned inductive choke. The optimization software consists of two main …

Feature selection is crucial for improving machine learning models by reducing
dimensionality and lowering computational costs. This survey paper provides an in-depth …

Unsupervised clustering has emerged as a critical tool for uncovering hidden patterns and
insights from vast, unlabeled datasets. However, traditional methods like Partitioning Around …

This paper introduces a multi-objective variant of the Greylag Goose Optimizer (MOGGO) to
tackle complex structural optimization problems. Inspired by the cooperative behavior of …