Image segmentation is a key step in image processing tasks, which has significant
applications in computer vision field such as medical image analysis, scene understanding …

Although digital simulations are becoming increasingly important in the industrial world
owing to the transition toward Industry 4.0, as well as the development of digital twin …

Abstract Fuzzy Rough Set (FRS) theory, which has been emerged thanks to unifying Rough
Set and Fuzzy Set ones, is a powerful mathematical tool for handling and processing real …

Artificial intelligence (AI) has been shown to be a formidable instrument in managing Big
Healthcare Data, and it has seen considerable success in bioinformatics. The advancement …

Microarray technology has developed rapidly in recent years, producing a large number of
ultra-high dimensional gene expression data. However, due to the huge sample size and …

Vote-based is one of the ensembles learning methods in which the individual classifier is
situated on numerous weighted categories of the training datasets. In designing a method …

In the real-world applications of machine learning and cybernetics, the data with imbalanced
distribution of classes or skewed class proportions is very pervasive. When dealing with …

Malaria is a leading cause of death in Nigeria and remains a public health concern because
of the increasing resistance of the disease to antimalarial drugs. Pregnant women and …

This paper addresses the challenges of model evaluation and optimization that arise from
domain differences between the target and source domains during model deployment …

Gene selection is an important technique to remove irrelevant genes and handle the
problem of curse-of-dimensionality issue. In other words the objective of the gene selection …