The thyroid gland plays a pivotal role in maintaining overall health, making the accurate diagnosis of thyroid diseases crucial.In this study, we propose an innovative approach to enhance the diagnostic accuracy of thyroid diseases through the integration of the Emperor Penguin Optimization Algorithm (EPO).EPO, inspired by the efficient foraging be
Automatic modulation classification (AMC) is becoming a promising technique for future adaptive wireless transceiver systems.The existing blind modulation classification (BMC) methods for orthogonal frequency division multiplexing (OFDM) fail to achieve the required performance by using statistical-based methods.Thus, the modulation classification
Background.Mechanics of multicomponent and multiphase media is a branch of fluid and gas mechanics.Mathematical modeling of the dynamics of inhomogeneous media is of great importance due to the fact that the experimental study of many of these processes is difficult.At the same time, many models are essentially non-linear, for this reason, numerica
Solar energy is an unlimited and sustainable energy source that holds great importance during the global shift towards environmentally friendly energy production.However, integrating solar power into electrical grids is challenging due to significant fluctuations in its generation.This research aims to develop a model for predicting solar radiation