Application of Dimensionality Reduction and Machine Learning Methods for the Interpretation of Gas Sensor Array Readouts from Mold-Threatened Buildings

Application of Dimensionality Reduction and Machine Learning Methods for the Interpretation of Gas Sensor Array Readouts from Mold-Threatened Buildings

Paper is in the scope of moisture-related problems which are connected with mold threat in buildings, sick building syndrome (SBS) as well as application of electronic nose for evaluation of different building envelopes and building materials. The machine learning methods used to analyze multidimens...

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Bibliographic Details
Main Authors: Grzegorz Łagód, Magdalena Piłat-Rożek, Dariusz Majerek, Ewa Łazuka, Zbigniew Suchorab, Łukasz Guz, Václav Kočí, Robert Černý
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
multidimensional signals analysis
dimensionality reduction
machine learning methods
gas sensors array
electronic nose
mold-threatened buildings
Online Access:https://www.mdpi.com/2076-3417/13/15/8588

Internet

https://www.mdpi.com/2076-3417/13/15/8588

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