Using artificial intelligence and machine learning techniques in healthcare applications has
been actively researched over the last few years. It holds promising opportunities as it is …

Oral diseases have a significant impact on human health, often going unnoticed in their
early stages. Deep learning, a promising field in artificial intelligence, has shown remarkable …

Machine learning (ML) is widely used for key tasks in Connected and Automated Vehicles
(CAV), including perception, planning, and control. However, its reliance on vehicular data …

In this article, we introduce explainable methods to understand how Human Activity
Recognition (HAR) mobile systems perform based on the chosen validation strategies. Our …

With the growing popularity of fitness, the demand for real-time action recognition and
feedback is increasing. Current research faces challenges in handling complex actions, real …

In recent times, numerous human activity recognition (HAR) schemes have been proposed
with embedding sensors, wearable devices, smart phones, and vision and ambient sensors …

In celebrating the 20th anniversary of the International Journal of Educational Technology in
Higher Education (IJETHE), previously known as the Revista de Universidad y Sociedad del …

Health conditions, encompassing both physical and mental aspects, hold an influence that
extends beyond the individual. These conditions affect personal well-being, relationships …

In the continuously develo** field of cyber security, user authentication and authorization
play a vital role in protecting personal information and digital assets from unauthorized use …

Detecting human activity through cameras and machine learning methods raises significant
privacy concerns, while alternatives like thermal cameras can be expensive. Passive …