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Sampling trade-offs in duty-cycled systems for air quality low-cost sensors
(Multidisciplinary Digital Publishing Institute (MDPI), 2022-05-23)
Article
Open AccessThe use of low-cost sensors in conjunction with high-precision instrumentation for air pollution monitoring has shown promising results in recent years. One of the main challenges for these sensors has been the quality of ... -
Raw data collected from NO2, O3 and NO air pollution electrochemical low-cost sensors
(Elsevier, 2022-12)
Article
Open AccessRecently, the monitoring of air pollution by means of lowcost sensors has become a growing research field due to the study of techniques based on machine learning to improve the sensors’ data quality. For this purpose, ... -
A low-cost and do-it-yourself device for pumping monitoring in deep aquifers
(2022-11)
Article
Open AccessWater crises due to climate change, high population growth and increasing demands from industry and agriculture claim for increasing efficiency and universalizing water resources management strategies and techniques. Water ... -
Implementation of a LoRa Mesh library
(Institute of Electrical and Electronics Engineers (IEEE), 2022-10-26)
Article
Open AccessLoRa is a popular communication technology in the Internet of Things (IoT) domain, providing low-power and long-range communications. Most LoRa IoT applications use the LoRaWAN architecture, which builds a star topology ... -
Graph signal reconstruction techniques for IoT air pollution monitoring platforms
(Institute of Electrical and Electronics Engineers (IEEE), 2022-12-15)
Article
Open AccessAir pollution monitoring platforms play a very important role in preventing and mitigating the effects of pollution. Recent advances in the field of graph signal processing have made it possible to describe and analyze air ... -
A low-power IoT device for measuring water table levels and soil moisture to ease increased crop yields
(2022-09-09)
Article
Open AccessThe simultaneous measurement of soil water content and water table levels is of great agronomic and hydrological interest. Not only does soil moisture represent the water available for plant growth but also water table ... -
Data reconstruction applications for IoT air pollution sensor networks using graph signal processing
(Elsevier, 2022-09)
Article
Restricted access - publisher's policyThe analysis of sensor networks for air pollution monitoring is challenging. Recent studies have demonstrated the ability to reconstruct the network measurements with graphs derived from the acquired data, thus describing ... -
Volterra graph-based outlier detection for air pollution sensor networks
(Institute of Electrical and Electronics Engineers (IEEE), 2022-07)
Article
Open AccessToday's air pollution sensor networks pose new challenges given their heterogeneity of low-cost sensors and high-cost instrumentation. Recently, with the advent of graph signal processing, sensor network measurements have ... -
On-device training of machine learning models on microcontrollers with federated learning
(2022-02-14)
Article
Open AccessRecent progress in machine learning frameworks has made it possible to now perform inference with models using cheap, tiny microcontrollers. Training of machine learning models for these tiny devices, however, is typically ... -
Non-linear models for black carbon exposure modelling using air pollution datasets
(Elsevier, 2022-09-01)
Article
Open AccessBlack carbon (BC) is a product of incomplete combustion, present in urban aerosols and sourcing mainly from road traffic. Epidemiological evidence reports positive associations between BC and cardiovascular and respiratory ... -
SAT-hadoop-processor: a distributed remote sensing big data processing software for earth observation applications
(Multidisciplinary Digital Publishing Institute, 2021-11-11)
Article
Open AccessNowadays, several environmental applications take advantage of remote sensing techniques. A considerable volume of this remote sensing data occurs in near real-time. Such data are diverse and are provided with high velocity ... -
H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network
(Elsevier, 2021-06)
Article
Open AccessThe H2020 CAPTOR project deployed three testbeds in Spain, Italy and Austria with low-cost sensors for the measurement of tropospheric ozone (O3). The aim of the H2020 CAPTOR project was to raise public awareness in a ...
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