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Clustering-Based Segmented Regression for Particulate Matter Sensor Calibration

Clustering-Based Segmented Regression for Particulate Matter Sensor Calibration

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6af5ebe2b8da47ec8da60e578457d73b

Clustering-Based Segmented Regression for Particulate Matter Sensor Calibration

About this item

Full title

Clustering-Based Segmented Regression for Particulate Matter Sensor Calibration

Author / Creator

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2022-12, Vol.12 (24), p.12934

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Nowadays, sensor-based air pollution sensing systems are widely deployed for fine-grained pollution monitoring. In-field calibration plays an important role in maintaining sensory data quality. Determining the model structure is challenging using existing methods of variable global fitting models for in-field calibration. This is because the mechan...

Alternative Titles

Full title

Clustering-Based Segmented Regression for Particulate Matter Sensor Calibration

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_6af5ebe2b8da47ec8da60e578457d73b

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_6af5ebe2b8da47ec8da60e578457d73b

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app122412934

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