Future connected and autonomous vehicles (CAVs) must be secured against cyberattacks
for their everyday functions on the road so that safety of passengers and vehicles can be …

Over the past five years, interest in the literature regarding the security of the Internet of
Medical Things (IoMT) has increased. Due to the enhanced interconnectedness of IoMT …

Anonymization techniques are widely used to make personal data broadly available for
analytics/data-mining purposes while preserving the privacy of the personal information …

Deep Learning (DL) has already shown tremendous potential in designing intelligent clinical
support systems in biomedicine. Data privacy plays a significant role while training and …

Advances in data collection, storage, and processing in e-Health systems have recently
increased the importance and popularity of data mining in the health care field. However, the …

The main objective of this paper is to highlight the research directions and explain the main
roles of current Artificial Intelligence (AI)/Machine Learning (ML) frameworks and available …

Massive open online course (MOOC) platforms have seen a significant increase in the
number of participants in recent years. MOOCs are at the forefront of an educational …

Our paper introduces a novel approach to social network information retrieval and user
engagement through a personalized chatbot system empowered by Federated Learning …

Pervasive Health Monitoring (PHM) uses sensors and wearable devices and data analytics
for real-time health monitoring. It enables early detection and personalized care …

Objective The European Health Data Space (EHDS) shapes the digital transformation of
healthcare in Europe. The EHDS regulation will also accelerate the use of health data for …