The continuous COVID-19 upsurge and emerging variants present unprecedented
challenges in many health systems. Many regulatory authorities have instituted the …

Evolutionary algorithms (EAs) and swarm algorithms (SAs) have shown their usefulness in
solving combinatorial and NP-hard optimization problems in various research fields …

Feature selection plays an important role in the machine-vision-based online detection of
foreign fibers in cotton because of improvement detection accuracy and speed. Feature sets …

Feature selection and feature extraction are the most important steps in classification
systems. Feature selection is commonly used to reduce dimensionality of datasets with tens …

Human emotional facial expressions play a vital role in interpersonal relations. Automated
facial expression recognition has always remained a challenging problem in real-life …

Feature selection (FS) is a global optimization problem in machine learning, which reduces
the number of features, removes irrelevant, noisy and redundant data, and results in …

This work presents a novel hybrid ACO-based classifier model that combines ant colony
optimization (ACO) and support vector machines (SVM) to improve classification accuracy …

In recent times, nutrition recommendation system has gained increasing attention due to
their need for healthy living. Current studies on the food domain deal with a …

Background and objectives Computer-aided diagnosis (CAD) plays a vital role in the routine
clinical activity for the detection of lung disorders using computed tomography (CT) images …

Accurate and efficient recognition of Parkinson's disease is one of the prominent issues in
the field of healthcare. To address this problem, different methods have been proposed in …