Evolutionary Computation (EC) approaches are inspired by nature and solve optimization
problems in a stochastic manner. They can offer a reliable and effective approach to address …

Feature selection is an important task in data mining and machine learning to reduce the
dimensionality of the data and increase the performance of an algorithm, such as a …

Smart manufacturing refers to optimization techniques that are implemented in production
operations by utilizing advanced analytics approaches. With the widespread increase in …

Feature selection is one of the important techniques of dimensionality reduction in data
preprocessing because datasets generally have redundant and irrelevant features that …

This article presents the Automatic Speaker Recognition System (ASR System), which
successfully resolves problems such as identification within an open set of speakers and the …

Whilst snoring itself is usually not harmful to a person's health, it can be an indication of
Obstructive Sleep Apnoea (OSA), a serious sleep-related disorder. As a result, studies into …

This paper presents a voice biometrics system implemented in a web application as part of a
two-factor authentication (2FA) user login. The web-based application, via a client interface …

This work is aimed at exploiting second-order circular suprasegmental hidden Markov
models (CSPHMM2s) as classifiers to enhance talking condition recognition in stressful and …

Feature selection is one part of preprocessing which aims to reduce data dimensions. This
study aims to produce optimal performance of the best feature selection method …

Zero-resource query-by-example search on speech strategies have raised the interest of the
research community, as they do not imply training (and therefore, large amounts of training …