Coronary artery disease (CAD) is a major cause of morbidity and mortality worldwide. This
underlines the urgent need for effective biomarkers for early diagnosis, risk stratification, and …

Multilayer piezocomposite transducers are widely used in many applications where broad
bandwidth is required for tracking and detection purposes. However, it is difficult to operate …

This paper introduces an efficient real-coded genetic algorithm (RCGA) evolved for
constrained real-parameter optimization. This novel RCGA incorporates three specially …

Blind source separation is a challenging problem in signal processing, involving the
separation of mixed signals into their individual sources. This paper introduces a novel …

This paper researches the recognition of modulation signals in underwater acoustic
communication, which is the fundamental prerequisite for achieving noncooperative …

We present an automatic signal modulation classification model using combinatorial deep
learning technique. Our proposed deep learning model increase accuracy for low Signal-to …

Ensemble methods are advanced learning algorithm proposed for generating base
classifiers and accumulating them all together to derive a new classifier which is expected to …

In the construction process of radial basis function (RBF) networks, two common crucial
issues arise: the selection of RBF centers and the effective utilization of the given source …

Modulation recognition (MR) has become an essential topic in today's wireless
communications systems. Recently, convolutional neural networks (CNNs) have been …

This paper presents the Firefighter Optimization (FFO) algorithm as a new hybrid
metaheuristic for optimization problems. This algorithm stems inspiration from the …