The electroencephalogram (EEG) signals are a big data which are frequently corrupted by
motion artifacts. As human neural diseases, diagnosis and analysis need a robust …

The use of machine learning algorithms for facial expression recognition and patient
monitoring is a growing area of research interest. In this study, we present a technique for …

A difficult challenge in the realm of biomedical engineering is the detection of physiological
changes occurring inside the human body, which is a difficult undertaking. At the moment …

Three‐phase induction motors are becoming increasingly popular for electric cars and
industrial uses because of their improved efficiency and simplicity of production, among …

During data transmission, a decentralised Mobile Ad Hoc Network (MANET) might result in
high Energy Consumption (EC) and a short Network Lifetime (NLife). To address these …

When it comes to our everyday life, emotions have a critical role to play. It goes without
saying that it is critical in the context of mobile‐computer interaction. In social and mobile …

In the contemporary era of unprecedented innovations such as the Internet of Things (IoT),
modern applications cannot be imagined without the presence of a wireless sensor network …

This study introduces an optimal topology of vision transformers for real-time video action
recognition in a cloud-based solution. Although model performance is a key criterion for real …

A radio communication sensor system is a collection of sensor modules that are connected
to one another through wireless communication. It is common for them to be battery …

Cloud technology is a business strategy that aims to provide the necessary material to
customers depending on their needs. Individuals and cloud businesses alike have …