The rapid growth of the Internet of Things (IoT) has exponentially increased the number of
connected devices that generate large amounts of data. Leveraging advanced technologies …

In recent years, we have been observing the rapid growth and adoption of IoT-based
systems, enhancing multiple areas of our lives. Concurrently, the utilization of machine …

The Internet of Things (IoT) has created a ubiquitously connected world powered by a
multitude of wired and wireless sensors generating a variety of heterogeneous data over …

Given its advantages in low latency, fast response, context-aware services, mobility, and
privacy preservation, edge computing has emerged as the key support for intelligent …

The burgeoning growth of the Internet of Things (IoT) has prompted a paradigm shift in
computing architectures, leading to the emergence and rapid evolution of edge computing …

The Internet of Things (IoT) is widely regarded as a key component of the Internet of the
future and thereby has drawn significant interests in recent years. IoT consists of billions of …

With the advent of artificial intelligence (AI), there has been an attempt to model a similar
behavior among computers, so that they can make decisions autonomously, just like …

Machine learning (ML) allows the Internet of Things (IoT) to gain hidden insights from the
treasure trove of sensed data and be truly ubiquitous without explicitly looking for knowledge …

Edge computing, artificial intelligence (AI), and machine learning (ML) concepts have
become increasingly prevalent in Internet of Things (IoT) applications. As the number of IoT …

The transition from traditional cloud computing to edge computing represents a paradigm
shift in data management. As the Internet of Things (IoT) and 5G connectivity continue to …