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

Sensors (Basel, Switzerland), 2019-05, Vol.19 (11), p.2503

2019

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A Comparative Study of Calibration Methods for Low-Cost Ozone Sensors in IoT Platforms

IEEE internet of things journal, 2019-12, Vol.6 (6), p.9563-9571

2019

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

Sensors (Basel, Switzerland), 2022-05, Vol.22 (10), p.3964

2022

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

Sensors (Basel, Switzerland), 2022-09, Vol.22 (18), p.6840

2022

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Raw data collected from NO2, O3 and NO air pollution electrochemical low-cost sensors

Data in brief, 2022-12, Vol.45, p.108586, Article 108586

2022

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

Data in brief, 2021-06, Vol.36, p.107127-107127, Article 107127

2021

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Exposure to fine particulate matter in the New York City subway system during home-work commute

PloS one, 2024-08, Vol.19 (8), p.e0307096

2024

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Data reconstruction applications for IoT air pollution sensor networks using graph signal processing

Journal of network and computer applications, 2022-09, Vol.205, p.103434, Article 103434

2022

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Multisensor Data Fusion Calibration in IoT Air Pollution Platforms

IEEE internet of things journal, 2020-04, Vol.7 (4), p.3124-3132

2020

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Convex Relaxation Method for Sensor Placement in Multiclass Monitoring Networks

IEEE transactions on instrumentation and measurement, 2024, Vol.73, p.1-13

2024

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Graph Learning Techniques Using Structured Data for IoT Air Pollution Monitoring Platforms

IEEE internet of things journal, 2021-09, Vol.8 (17), p.13652-13663

2021

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Leveraging Spatiotemporal Correlations With Recurrent Autoencoders for Sensor Anomaly Detection

IEEE internet of things journal, 2024-10, Vol.11 (19), p.31144-31152

2024

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Estimating black carbon levels using machine learning models in high-concentration regions

The Science of the total environment, 2024-10, Vol.948, p.174804, Article 174804

2024

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Temporal Pattern-Based Denoising and Calibration for Low-Cost Sensors in IoT Monitoring Platforms

IEEE transactions on instrumentation and measurement, 2023-01, Vol.72, p.1-1

2023

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Pattern-Based Attention Recurrent Autoencoder for Anomaly Detection in Air Quality Sensor Networks

IEEE transactions on network science and engineering, 2024-09, p.1-10

2024

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Virtual sensor-based proxy for black carbon estimation in IoT platforms

Internet of things (Amsterdam. Online), 2024-10, Vol.27, p.101284, Article 101284

2024

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Volterra Graph-Based Outlier Detection for Air Pollution Sensor Networks

IEEE transactions on network science and engineering, 2022-07, Vol.9 (4), p.2759-2771

2022

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Graph Signal Reconstruction Techniques for IoT Air Pollution Monitoring Platforms

IEEE internet of things journal, 2022-12, Vol.9 (24), p.25350-25362

2022

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Raw data collected from NO 2 , O 3 and NO air pollution electrochemical low-cost sensors

Data in brief, 2022-12, Vol.45, p.108586-108586, Article 108586

2022

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Robust Proxy Sensor Model for Estimating Black Carbon Concentrations Using Low-Cost Sensors

Proceedings of the 1st International Workshop on Advances in Environmental Sensing Systems for Smart Cities, 2023, p.1-6

2023

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A Data-Driven Framework for Air Quality Sensor Networks

IEEE internet of things magazine, 2024-01, Vol.7 (1), p.128-134

2024

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

A Comparative Study of Calibration Methods for Low-Cost Ozone Sensors in IoT Platforms

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

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

Raw data collected from NO2, O3 and NO air pollution electrochemical low-cost sensors

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

Exposure to fine particulate matter in the New York City subway system during home-work commute

Data reconstruction applications for IoT air pollution sensor networks using graph signal processing

Multisensor Data Fusion Calibration in IoT Air Pollution Platforms

Convex Relaxation Method for Sensor Placement in Multiclass Monitoring Networks

Graph Learning Techniques Using Structured Data for IoT Air Pollution Monitoring Platforms

Leveraging Spatiotemporal Correlations With Recurrent Autoencoders for Sensor Anomaly Detection

Estimating black carbon levels using machine learning models in high-concentration regions

Temporal Pattern-Based Denoising and Calibration for Low-Cost Sensors in IoT Monitoring Platforms

Pattern-Based Attention Recurrent Autoencoder for Anomaly Detection in Air Quality Sensor Networks

Virtual sensor-based proxy for black carbon estimation in IoT platforms

Volterra Graph-Based Outlier Detection for Air Pollution Sensor Networks

Graph Signal Reconstruction Techniques for IoT Air Pollution Monitoring Platforms

Raw data collected from NO 2 , O 3 and NO air pollution electrochemical low-cost sensors

Robust Proxy Sensor Model for Estimating Black Carbon Concentrations Using Low-Cost Sensors

A Data-Driven Framework for Air Quality Sensor Networks

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