Video analytics with deep learning techniques has generated immense interest in academia
and industry, captivating minds with its transformative potential. Deep learning techniques …

The study systematically reviews the integration of Fog and Edge Computing within
Learning Analytics to enhance data privacy and security in educational settings that use …

Since the emergence of coronavirus disease–2019 (COVID-19) outbreak, every country has
implemented digital solutions in the form of mobile applications, web-based frameworks …

The educational context that integrates Learning Analytics processes presents a high
fragility in the data processing. In addition, using analytical technologies in cloud computing …

In an age of surveillance capitalism, anchoring the design of emerging smart services in
trustworthiness is urgent and important. Edge Intelligence, which brings together the fields of …

Although the number of smart Internet of Things (IoT) devices has grown in recent years, the
public's perception of how effectively these devices secure IoT data has been questioned …

This study proposes a versatile framework for optimizing psychomotor learning through
human motion analysis. Utilizing a wearable IMU sensor system, the motion trajectories of a …

Urban sensing is the foundation for cities to become smart. It comprises multiple domains,
such as public surveillance, smart buildings, smart health, crowd sourcing/sensing or …

A person's privacy has become a growing concern, given the nature of an expansive
reliance on real-time video activities with video capture, stream, and storage. This paper …

With the proliferation of video content from surveillance cameras, social media, and live
streaming services, the need for efficient video analytics has grown immensely. In recent …