The last decade has witnessed the explosion of machine learning research studies with the
inception of several algorithms proposed and successfully adopted in different application …

Mobile payment systems are becoming more popular due to the increase in the number of
smartphones, which, in turn, attracts the interest of fraudsters. Extant research has therefore …

Abstract The Internet of Vehicles (IoV) is an interactive network providing intelligent traffic
management, intelligent dynamic information service, and intelligent vehicle control to …

Automated machine learning (AutoML), in particular, neural architecture search (NAS) for
deep learning, has ignited the fast-paced development of automating data science (AutoDS) …

Electroencephalogram (EEG) data are susceptible to artifacts, such as lapses in
concentration or poor imagination, which can significantly impact the accuracy of disease …

In this study, we present a clustering cost function that uses K-nearest neighbour (KNN) and
particle swarm optimisation (PSO) to detect outliers. Here, the Dunn index was used to …

In this paper, a hyperparameter optimization approach is proposed for the phase prediction
of multi-principal element alloys (MPEAs) through the introduction of two novel …

Outliers are unexpected observations present in data that has to be identified systematically
to prevent from catastrophic effects. The detection of outliers plays a crucial role in many …

It is frequently mentioned that QSARs have not generally lived up to expectations, especially
in cases where high predictability is expected yet failed to deliver satisfactory results. Even …

Purpose In the context of fixed-wing aircraft wing assembly, there is a need for a rapid and
precise measurement technique to determine the center distance between two double-hole …