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 …
[HTML][HTML] Sensor network metrology: Current state and future directions
S Tabandeh, AP Vedurmudi, H Söderblom… - Measurement …, 2025 - Elsevier
This article investigates the essential role of sensor network metrology in advancing the
reliability and adaptability of sensor networks through a review of the state of the art and …
reliability and adaptability of sensor networks through a review of the state of the art and …
The many faces of edge intelligence
Edge Intelligence (EI) is an emerging computing and communication paradigm that enables
Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as …
Artificial Intelligence (AI) functionality at the network edge. In this article, we highlight EI as …
Autonomy and intelligence in the computing continuum: Challenges, enablers, and future directions for orchestration
Future AI applications require performance, reliability and privacy that the existing, cloud-
dependant system architectures cannot provide. In this article, we study orchestration in the …
dependant system architectures cannot provide. In this article, we study orchestration in the …
[HTML][HTML] Earth observation: An integral part of a smart and sustainable city
Over the course of the 21st century, a century in which the urbanization process of the
previous one is ever on the rise, the novel smart city concept has rapidly evolved and now …
previous one is ever on the rise, the novel smart city concept has rapidly evolved and now …
IoT based Smart Air Pollution Monitoring System
PD Potbhare, K Bhange, G Tembhare… - … on Applied Artificial …, 2022 - ieeexplore.ieee.org
Now-a-days aerial pollution is a major issue driving attention towards the medical and
healthcare department. The neck of air pollution has hyperbolic with times by heap of things …
healthcare department. The neck of air pollution has hyperbolic with times by heap of things …
Dense air quality sensor networks: Validation, analysis, and benefits
Air pollution is known to be harmful to human health and the environment. Official air quality
monitoring stations have been established across many smart cities around the world …
monitoring stations have been established across many smart cities around the world …
Estimating black carbon levels with proxy variables and low-cost sensors
We develop a portable and affordable solution for estimating personal exposure to black
carbon (BC) using low-cost sensors and machine learning. Our approach uses other …
carbon (BC) using low-cost sensors and machine learning. Our approach uses other …
An Edge and Trustworthy AI UAV System With Self-Adaptivity and Hyperspectral Imaging for Air Quality Monitoring
Leveraging the mobility and flexibility of unmanned aerial vehicles (UAVs), the proposed
edge and trustworthy artificial intelligence (AI) UAV system (ETAUS) offers a comprehensive …
edge and trustworthy artificial intelligence (AI) UAV system (ETAUS) offers a comprehensive …