With the increasing use of sensors in almost every device and application worldwide, the
volume of data increases exponentially. Instance selection is an important data …

Cholera is one of the rapidly spreading waterborne diseases which are caused by bacteria
named Vibrio Cholerae. As population grows, so as the data related to patients, doctors and …

Most of the datasets contain redundancies and inconsistencies in terms of features or
instances or both. Therefore, datasets always need pre-processing before applying data …

Real world datasets are commonly large and involve a lot of features. This is due because of
the variety of domains where are obtained from or for the impact of diverse features …

The freedom of social media platforms to post and share daily activities is being misused by
threatening users as they post the suspicious and fake content on social media for personal …

Illegitimate access to databases may compromise their integrity and confidentiality, resulting
in legal and financial ramifications for organisations. We propose a database intrusion …

Wavelet based thresholding procedure is most popular approach to obtained de-noised
ECG signal. Traditional thresholding techniques classified into soft and hard thresholding …

The paper focuses on the problem of instance selection. Instance selection is currently
crucial to enhance the efficacy and efficiency of machine-learning tools when they are used …

This paper presents a problem of a link failure in all types of optical networks. Here, the
concept of monitoring path (MPs) and monitoring cycles (MCs) has been introduced for the …

Feature extractions are perceptive problems due to differences of opinion in image assets
and contents. An image has strong texture and colour channels, ie, a gray-level …