Recently, innovations in the Internet of Medical Things (IoMT), information and
communication technologies, and machine learning (ML) have enabled smart healthcare …

Introduction. Artificial intelligence (AI) models have been employed to automate decision‐
making, from commerce to more critical fields directly affecting human lives, including …

The current industrial scenario has witnessed the application of several artificial intelligence-
based technologies for mining and processing IoMT-based big data. An emerging …

Internet of Medical Things (IoMT) aggregates a series of smart medical devices and fully
uses the collected health data to improve user experience, medical resource utilization, and …

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 …

Federated learning (FL) provides a distributed machine learning system that enables
participants to train using local data to create a shared model by eliminating the requirement …

Identifying human diseases remains a difficult process, even in the age of advanced
information technology and the smart healthcare industry 5.0. In the smart healthcare …

Astronomers are increasingly compelled to chart the universe with ever greater precision.
Projects like the Sloan Digital Sky Survey (SDSS), Pan-STARRS, and the Large Synoptic …

Many disease detection and prevention applications in digital healthcare systems are widely
used but often focus only on prediction and classification, ignoring processing performance …

Recently, in healthcare organizations, real-time data have been collected from connected or
implantable sensors, layered protocol stacks, lightweight communication frameworks, and …