In recent years, emotion recognition algorithms have achieved high efficiency, allowing the
development of various affective and affect-aware applications. This advancement has taken …

Cortisol, a crucial steroid hormone synthesized by the adrenal glands, has diverse impacts
on multiple physiological processes, such as metabolism, immune function, and stress …

The authentication of sensor data is a must-need when we talk about the domain of mobile
security. This paper explores the efficacy of deep learning models known as Convolutional …

Abstract The Internet of Things (IoT) or Internet Connected Things is the networking of
physical devices that are both connected and smart. These devices are embedded with …

This paper presents a review of technologies under the paradigm 4.0 applied to the study of
the thermal comfort and, implicitly, energy efficiency. The research is based on the analysis …

A higher proportion of patients with heart failure have benefitted from a wide and expanding
variety of sensor-enabled implantable devices than any other patient group. These patients …

With the rising amount of data in the sports and health sectors, a plethora of applications
using big data mining have become possible. Multiple frameworks have been proposed to …

This paper aims to provide the reader with a comprehensive background for understanding
current knowledge on the use of non-intrusive Mobile Sensing methodologies for emotion …

The integration of cheap and powerful sensors in smartphones has enabled the emergence
of several context‐aware applications and frameworks. However, the available smartphone …

Malware is a software that is created to distort or obstruct computer or mobile applications,
gather sensitive information or execute malicious actions. These malicious activities include …