The k-nearest neighbors (k/NN) algorithm is a simple yet powerful non-parametric classifier
that is robust to noisy data and easy to implement. However, with the growing literature on …

Disease diagnosis and prediction methods in biotechnology and medicine have significantly
advanced over time. Consequently, analyzing raw gene expression is crucial for identifying …

This study aims to systematically review prior research on the evaluation and benchmarking
of automated acute leukaemia classification tasks. The review depends on three reliable …

Leukemia is a type of cancer affecting blood-forming tissues, where timely diagnosis is
crucial for early intervention and better treatment outcomes. Traditional detection methods …

Data analytics is routinely used to support biomedical research in all areas, with particular
focus on the most relevant clinical conditions, such as cancer. Bioinformatics approaches, in …

Context Acute leukaemia diagnosis is a field requiring automated solutions, tools and
methods and the ability to facilitate early detection and even prediction. Many studies have …

Computational analysis methods including machine learning have a significant impact in the
fields of genomics and medicine. High-throughput gene expression analysis methods such …

The electronic nose, popularly known as the E-nose, that combines gas sensor arrays
(GSAs) with machine learning has gained a strong foothold in gas sensing technology. The …

E-noses that combine machine learning and gas sensor arrays (GSAs) are widely used for
the detection and identification of various gases. GSAs produce signals that provide vital …

Purpose The purpose of this paper, is to predict the various phases and crystal structure
from multi-component alloys. Nowadays, the concept and strategies of the development of …