Browsing by Author "Ferrer Cid, Pau"
Now showing items 21-25 of 25
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Review of probability theory
Barceló Ordinas, José María; García Vidal, Jorge; Ferrer Cid, Pau (Universitat Politècnica de Catalunya, 2023-07-17)
Lecture notes
Open Access -
Robust proxy sensor model for estimating black carbon concentrations using low-cost sensors
Paredes Ahumada, Juan Antonio; Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge; Reche Andúgar, Cristina; Viana Rodríguez, Mar (Association for Computing Machinery (ACM), 2023)
Conference lecture
Open AccessAir quality monitoring sensor networks focusing on air pollution measure pollutants that are regulated by the authorities, such as CO, NO2, NO, SO2, O3, and particulate matter (PM10, PM2.5). However, there are other ... -
Sampling trade-offs in duty-cycled systems for air quality low-cost sensors
Ferrer Cid, Pau; García Calvete, Julio; Main Nadal, Aina; Ye, Zhe; Barceló Ordinas, José María; García Vidal, Jorge (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 ... -
Temporal pattern-based denoising and calibration for low-cost sensors in IoT monitoring platforms
Allka, Xhensilda; Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (Institute of Electrical and Electronics Engineers (IEEE), 2023-01-25)
Article
Open AccessThe 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 ... -
Volterra graph-based outlier detection for air pollution sensor networks
Ferrer Cid, Pau; Barceló Ordinas, José María; García Vidal, Jorge (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 ...