Abstract The Artificial Bee Colony (ABC) technique is a highly effective method of
optimization inspired by the behavior of bees. Notably, the importance of the ABC algorithm …

Microarray technology, as applied to the fields of bioinformatics, biotechnology, and
bioengineering, has made remarkable progress in both the treatment and prediction of many …

Biological markers (ie, biomarkers) is the key to predicting disease states and revealing the
molecular mechanisms in precision medicine of complex disease (eg, cancer). With the …

Adopting Nature inspired optimization algorithms for image processing is on the double
growth in the last decade. Artificial Bee Colony (ABC) approach is highly potential nature …

Results: The models were evaluated based on metrics such as Matthews correlation
coefficient, F-measure, Precision-Recall curve and Receiver Operating Characteristic Area …

This paper presents a survey for optimization approaches that analyze and classify
electroencephalogram (EEG) signals. The automatic analysis of EEG presents a significant …

Survey is one of the crucial data retrieval methods in the literature. However, surveys often
contain missing data and redundant features. Therefore, missing feature completion and …

BACKGROUND: Esophageal cancer (EC) is aggressive cancer with a high fatality rate and a
rapid rise of the incidence globally. However, early diagnosis of EC remains a challenging …

Abstract Artificial Bee Colony (ABC) algorithms are employed in various studies, including
gene expression studies, to optimise gene selection and classification models. By mimicking …

Cancer is the most prevalent disease that leads to death globally. According to the World
Health Organization (WHO) report, cancer claims over 10 million lives yearly. Extensive …