The Edge Intelligence (EI) paradigm has recently emerged as a promising solution to
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …

Systems for monitoring air quality are essential for reducing the negative consequences of
air pollution, but creating real-time systems encounters several challenges. The accuracy …

Unmanned aerial vehicles (UAVs) equipped with air quality sensors offer a powerful solution
for increasing the spatial and temporal resolution of air quality data, searching and detecting …

Technology solutions must effectively balance economic growth, social equity, and
environmental integrity to achieve a sustainable society. Notably, although the Internet of …

In the last decade, deep learning has rapidly infiltrated the consumer end, mainly thanks to
hardware acceleration across devices. However, as we look toward the future, it is evident …

A typical Internet of Things (IoT) system consists of a large number of different subsystems
and devices, including sensors and actuators, gateways that connect them to the Internet …

Abstract An Internet of Things (IoT) system typically comprises numerous subsystems and
devices, such as sensors, actuators, gateways for internet connectivity, cloud services, end …

IoT systems are widely used in various applications, including healthcare, agriculture,
manufacturing, and smart cities. However, these systems still have limitations, such as lack …

Featured Application This paper presents a methodology for the implementation of edge
intelligence for predicting solar panel performances on wireless sensor nodes. Abstract The …

This article combines Distributed Artificial Intelligence (DAI) with zero-touch provisioning
(ZTP) for edge networks. Several advantages are also highlighted that come with …