The echo state network (ESN) is a cutting-edge reservoir computing technique designed to
handle time-dependent data, making it highly effective for addressing time series prediction …

Colon cancer is one of the world's three most deadly and severe cancers. As with any
cancer, the key priority is early detection. Deep learning (DL) applications have recently …

Recent advances in deep learning techniques and acoustic sensor networks offer a new
way for continuously monitoring birds. Deep learning methods have led to considerable …

Abstract The Computed Tomography (CT) scan images classification problem is one of the
most challenging problems in recent years. Different medical treatments have been …

Big data is a vast amount of structured and unstructured data that must be dealt with on a
regular basis. Dimensionality reduction is the process of converting a huge set of data into …

This paper aims to analyze the decision-making processes in which the interactions
between objects belonging to two different universe sets are desired to be determined. In …

The selection of an algorithm to tackle a certain problem is a vital undertaking that
necessitates both time and knowledge. Non-functional needs, such as the size, quality, and …

Abstract Coronavirus sickness (COVID-19) recently adversely disrupted the medical care
system and the entire economy. Doctors, researchers, and specialists are working on new …

This article introduces a novel and effective diagram based on direct instantaneous power
control (DPC) of a PWM-controlled rectifier connected to the grid without a switching table …

The difficulty in predicting early cancer is due to the lack of early illness indicators.
Metaheuristic approaches are a family of algorithms that seek to find the optimal values for …