Big Data Analytics (BDA) has garnered significant attention in both academia and industries,
particularly in sectors such as healthcare, owing to the exponential growth of data and …

In recent years, deep learning (DL) has been ubiquitous in several areas, such as text
recognition and data analysis, limited by this and increasingly used in security and data …

The Internet of Things (IoT) is transforming major industries, including but not limited to
healthcare, agriculture, finance, energy, and transportation. IoT platforms are continually …

Industrial Internet of Things (IIoT) is revolutionizing many leading industries such as energy,
agriculture, mining, transportation, and healthcare. IIoT is a major driving force for Industry …

Facial recognition technologies are implemented in many areas, including but not limited to,
citizen surveillance, crime control, activity monitoring, and facial expression evaluation …

The growth of big data can increase risks of re-identification in complex IoT environment.
Data anonymization is widely used to prevent shared data from being re-identified private or …

Edge computing and distributed machine learning have advanced to a level that can
revolutionize a particular organization. Distributed devices such as the Internet of Things …

In the distributed collaborative machine learning (DCML) paradigm, federated learning (FL)
recently attracted much attention due to its applications in health, finance, and the latest …

Digital age can be described as a collection of different technological solutions as virtual
environments, digital services, intelligent applications, machine learning, knowledge-based …

In recent years, there has been a surge in the use of deep learning systems for e-healthcare
applications. While these systems can provide significant benefits regarding improved …