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 …

Edge Artificial Intelligence (AI) incorporates a network of interconnected systems and
devices that receive, cache, process, and analyse data in close communication with the …

Today Edge computing is witnessing an essential interest in new use cases, especially after
the introduction of 4G and 5G. Today's many applications/sectors are also heavily investing …

Driven by the Internet of Things (IoT), a new computing model–Edge computing–is currently
evolving, which allows IoT data processing, storage and service supply to be moved from …

The advent of the Internet of Things (IoT) has witnessed a rapid proliferation of
interconnected devices capable of sensing, collecting, and exchanging vast amounts of …

As the Internet of Things (IoT) landscape grows, with estimates exceeding 75 billion devices
by 2025, effective data management and processing become primary challenges …

Recent years have witnessed the widespread popularity of Internet of things (IoT). By
providing sufficient data for model training and inference, IoT has promoted the development …

Driven by the vision of the Internet of things (IoT) and recent technological advances, the
past few years have seen a paradigm shift from centralized cloud computing to edge …

Edge computing has emerged as a pivotal paradigm shift in the realm of data processing
and analytics, revolutionizing the way organizations handle real-time data. This review …

The rapid emergence of deep learning (DL) algorithms has paved the way for bringing
artificial intelligence (AI) services to end users. The intersection between edge computing …