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 …

Abstract Advanced Machine Learning (ML) algorithms can be applied using Edge
Computing (EC) to detect anomalies, which is the basis of Artificial Intelligence of Things …

The energy-intensive manufacturing industries exhibit high carbon intensity and
environmental pollution, which leads a close association between economic growth and …

Patient enrollment, data sharing, and data privacy are enormous medical challenges for
clinical trial studies. In recent years, blockchain technology has drawn the attention of …

With new technologies coming to the market, the Internet of Things (IoT) is one of the
technologies that has gained exponential rise by facilitating Machine to Machine (M2M) …

Internet of things (IoT)-enabled wireless body area network (WBAN) is an emerging
technology that combines medical devices, wireless devices, and non-medical devices for …

Abstract Artificial Intelligence of Things (AIoT) is an emerging area of interest, and this can
be used to obtain knowledge and take better decisions in the same Internet of Things (IoT) …

This paper proposes a three-computing-layer architecture consisting of Edge, Fog, and
Cloud for remote health vital signs monitoring. The novelty of this architecture is in using the …

The search algorithm based on symbiotic organisms' interactions is a relatively recent bio-
inspired algorithm of the swarm intelligence field for solving numerical optimization …

With the rise of the Internet of Things (IoT), tiny devices capable of computation and data
transmission are being deployed across various technological domains. Due to the wide …