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Advanced Search Results For "Barcelo-Ordinas JM"

1 - 8 of 8 results for
 "Barcelo-Ordinas JM"
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Raw data collected from NO 2 , O 3 and NO air pollution electrochemical low-cost sensors.

Publication Type: Academic Journal

Source(s): Data in brief [Data Brief] 2022 Sep 12; Vol. 45, pp. 108586. Date of Electronic Publication: 2022 Sep 12 (Print Publication: 2022).

Abstract: Recently, the monitoring of air pollution by means of low-cost 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, sensors undergo a calibration pr...

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A Low-Power IoT Device for Measuring Water Table Levels and Soil Moisture to Ease Increased Crop Yields.

Publication Type: Academic Journal

Source(s): Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 Sep 09; Vol. 22 (18). Date of Electronic Publication: 2022 Sep 09.

Abstract: The 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 levels can affect crop productivi...

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Non-linear models for black carbon exposure modelling using air pollution datasets.

Publication Type: Academic Journal

Source(s): Environmental research [Environ Res] 2022 Sep; Vol. 212 (Pt B), pp. 113269. Date of Electronic Publication: 2022 Apr 13.

Abstract: Black 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 disease. Despite this, BC is ...

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Sampling Trade-Offs in Duty-Cycled Systems for Air Quality Low-Cost Sensors.

Publication Type: Academic Journal

Source(s): Sensors (Basel, Switzerland) [Sensors (Basel)] 2022 May 23; Vol. 22 (10). Date of Electronic Publication: 2022 May 23.

Abstract: The 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 their data, which is why the m...

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H2020 project CAPTOR dataset: Raw data collected by low-cost MOX ozone sensors in a real air pollution monitoring network.

Publication Type: Academic Journal

Source(s): Data in brief [Data Brief] 2021 May 11; Vol. 36, pp. 107127. Date of Electronic Publication: 2021 May 11 (Print Publication: 2021).

Abstract: The H2020 CAPTOR project deployed three testbeds in Spain, Italy and Austria with low-cost sensors for the measurement of tropospheric ozone (O 3 ). The aim of the H2020 CAPTOR project was to raise public awareness in a project focused on citizen scien...

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Distributed Multi-Scale Calibration of Low-Cost Ozone Sensors in Wireless Sensor Networks.

Publication Type: Academic Journal

Source(s): Sensors (Basel, Switzerland) [Sensors (Basel)] 2019 May 31; Vol. 19 (11). Date of Electronic Publication: 2019 May 31.

Abstract: New advances in sensor technologies and communications in wireless sensor networks have favored the introduction of low-cost sensors for monitoring air quality applications. In this article, we present the results of the European project H2020 CAPTOR, ...

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Testing the performance of sensors for ozone pollution monitoring in a citizen science approach.

Publication Type: Academic Journal

Source(s): The Science of the total environment [Sci Total Environ] 2019 Feb 15; Vol. 651 (Pt 1), pp. 1166-1179. Date of Electronic Publication: 2018 Sep 22.

Abstract: Tropospheric ozone (O 3 ) is an environmental pollutant of growing concern, especially in suburban and rural areas where the density of air quality monitoring stations is not high. In this type of areas citizen science strategies can be useful tools fo...

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A method for clustering and cooperation in wireless multimedia sensor networks.

Publication Type: Academic Journal

Source(s): Sensors (Basel, Switzerland) [Sensors (Basel)] 2010; Vol. 10 (4), pp. 3145-69. Date of Electronic Publication: 2010 Mar 31.

Abstract: Wireless multimedia sensor nodes sense areas that are uncorrelated to the areas covered by radio neighbouring sensors. Thus, node clustering for coordinating multimedia sensing and processing cannot be based on classical sensor clustering algorithms. T...

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