Influence of Concept Drift on Metrological Performance of Low-Cost NO<sub>2</sub> Sensors-Reference-Cited by-同舟云学术

Influence of Concept Drift on Metrological Performance of Low-Cost NO₂ Sensors

Published:2022 Issue: Volume:71 Page:1-11
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

D'Elia Gerardo¹^ORCID,Ferro Matteo²^ORCID,Sommella Paolo²^ORCID,De Vito Saverio¹^ORCID,Ferlito Sergio¹^ORCID,D'Auria Paolo³^ORCID,Francia Girolamo Di¹^ORCID

Affiliation:

1. PV and Sensors Application Laboratory, ENEA–Agency for New Technologies, Energy and Sustainable Economic Development, Naples, Italy

2. Department of Industrial Engineering, University of Salerno, Fisciano, Italy

3. ARPAC–Campania Regional Agency for Environmental Protection, Naples, Italy

Funder

EU (ERDF) within the UIA 3rd Call Air Quality Framework through the project Air-Heritage

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/9717300/09827616.pdf?arnumber=9827616

Reference25 articles.

1. Dataset Shift in Machine Learning

2. Learning under Concept Drift: A Review

3. An overview of unsupervised drift detection methods

4. On the robustness of field calibration for smart air quality monitors

5. Relevance of Drift Components and Unit-to-Unit Variability in the Predictive Maintenance of Low-Cost Electrochemical Sensor Systems in Air Quality Monitoring

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