Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Jose M. Barcelo-Ordinas"'
Publikováno v:
Data in Brief, Vol 45, Iss , Pp 108586- (2022)
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 calibratio
Externí odkaz:
https://doaj.org/article/745f4806bd3b4e57984e88b0b99be543
Autor:
Emiliano López, Carlos Vionnet, Pau Ferrer-Cid, Jose M. Barcelo-Ordinas, Jorge Garcia-Vidal, Guillermo Contini, Jorge Prodolliet, José Maiztegui
Publikováno v:
Sensors, Vol 22, Iss 18, p 6840 (2022)
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 producti
Externí odkaz:
https://doaj.org/article/1eb6413c189742fcb51f89227b118006
Publikováno v:
Data in Brief, Vol 36, Iss , Pp 107127- (2021)
The 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 project focused on citizen scien
Externí odkaz:
https://doaj.org/article/b2f85da56a674f89bf179916e2af7c52
Autor:
Pau Ferrer-Cid, Julio Garcia-Calvete, Aina Main-Nadal, Zhe Ye, Jose M. Barcelo-Ordinas, Jorge Garcia-Vidal
Publikováno v:
Sensors, Vol 22, Iss 10, p 3964 (2022)
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
Externí odkaz:
https://doaj.org/article/0860494de7ff4620b3d853a287d5e506
Publikováno v:
Sensors, Vol 19, Iss 11, p 2503 (2019)
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
Externí odkaz:
https://doaj.org/article/17ede3f4e5944ab58b1fa16e78b47428
Publikováno v:
Sensors, Vol 10, Iss 4, Pp 3145-3169 (2010)
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.
Externí odkaz:
https://doaj.org/article/773a00d49e3d48a98ba0ee609fd844db
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 72:1-11
The introduction of low-cost sensors (LCSs) in air quality Internet of Things (IoT) monitoring platforms presents the challenge of improving the quality of the data that these sensors provide. In this article, we propose two algorithms to perform den
Air 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 pollution monitoring networ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8dbcf3de52b8c25271dcd4a7da4753f1
http://arxiv.org/abs/2201.00378
http://arxiv.org/abs/2201.00378
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Universitat Politècnica de Catalunya (UPC)
Today'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 been successfully represente
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95d08016506bff1c8b3db4c5c897e477
http://hdl.handle.net/2117/369032
http://hdl.handle.net/2117/369032
Publikováno v:
Data in Brief, Vol 36, Iss, Pp 107127-(2021)
Data in Brief
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Data in Brief
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
The 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 project focused on citizen scien