Disclosing edge intelligence: A systematic meta-survey
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 …
overcome the inherent limitations of cloud computing (latency, autonomy, cost, etc.) in the …
Towards federated learning and multi-access edge computing for air quality monitoring: literature review and assessment
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 …
air pollution, but creating real-time systems encounters several challenges. The accuracy …
Unmanned aerial vehicles for air pollution monitoring: A survey
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 …
for increasing the spatial and temporal resolution of air quality data, searching and detecting …
Energy-sustainable iot connectivity: Vision, technological enablers, challenges, and future directions
OLA López, OM Rosabal… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
Technology solutions must effectively balance economic growth, social equity, and
environmental integrity to achieve a sustainable society. Notably, although the Internet of …
environmental integrity to achieve a sustainable society. Notably, although the Internet of …
The future of consumer edge-ai computing
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 …
hardware acceleration across devices. However, as we look toward the future, it is evident …
LiquidAI: towards an isomorphic AI/ML system architecture for the cloud-edge continuum
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 …
and devices, including sensors and actuators, gateways that connect them to the Internet …
Towards liquid AI in IoT with webassembly: a prototype implementation
P Kotilainen, V Heikkilä, K Systä… - … Conference on Mobile …, 2023 - Springer
Abstract An Internet of Things (IoT) system typically comprises numerous subsystems and
devices, such as sensors, actuators, gateways for internet connectivity, cloud services, end …
devices, such as sensors, actuators, gateways for internet connectivity, cloud services, end …
[HTML][HTML] Exploring the integration of edge computing and blockchain IoT: Principles, architectures, security, and applications
IoT systems are widely used in various applications, including healthcare, agriculture,
manufacturing, and smart cities. However, these systems still have limitations, such as lack …
manufacturing, and smart cities. However, these systems still have limitations, such as lack …
Analysis of Using Machine Learning Techniques for Estimating Solar Panel Performance in Edge Sensor Devices
D Dobrilovic, J Pekez, V Ognjenovic, E Desnica - Applied Sciences, 2024 - mdpi.com
Featured Application This paper presents a methodology for the implementation of edge
intelligence for predicting solar panel performances on wireless sensor nodes. Abstract The …
intelligence for predicting solar panel performances on wireless sensor nodes. Abstract The …
Distributed ai in zero-touch provisioning for edge networks: challenges and research directions
This article combines Distributed Artificial Intelligence (DAI) with zero-touch provisioning
(ZTP) for edge networks. Several advantages are also highlighted that come with …
(ZTP) for edge networks. Several advantages are also highlighted that come with …