DNA microarray technology has emerged as a prospective tool for diagnosis of cancer and
its classification. It provides better insights of many genetic mutations occurring within a cell …

Abstract Machine learning techniques are being increasingly used for detection and
diagnosis of diseases for its accuracy and efficiency in pattern classification. In this paper …

Microarray gene expression based medical data classification has remained as one of the
most challenging research areas in the field of bioinformatics, machine learning and pattern …

Background and objective: Over the last two decades, DNA microarray technology has
emerged as a powerful tool for early cancer detection and prevention. It helps to provide a …

DNA microarray is an efficient new technology that allows to analyze, at the same time, the
expression level of millions of genes. The gene expression level indicates the synthesis of …

The irregular movement of cryptocurrency market makes effective price forecasting a
challenging task. Price fluctuations in cryptocurrencies often appear to be arbitrary that has …

Classification of high dimensional data is a very crucial task in bioinformatics. Cancer
classification of the microarray is a typical application of machine learning due to the large …

This paper presents a new evolutionary cooperative learning scheme, able to solve function
approximation and classification problems with improved accuracy and generalization …

In this paper, an Ellipsoid ARTMAP (EAM) network model based on incremental learning
algorithm is proposed to realize online learning and tool condition monitoring. The main …

Abstract Convolutional Neural Networks stands at the front of many solutions which deal
with computer vision related tasks. The use and the applications of these models are …