ArticleSensors (Basel, Switzerland)2022
Identification of Chemical Vapor Mixture Assisted by Artificially Extended Database for Environmental Monitoring.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- A New Approach to Optimize SVM for Insulator State Identification Based on Improved PSO Algorithm.Sensors (Basel, Switzerland) · 2022Article
- Residential Environment Pollution Monitoring System Based on Cloud Computing and Internet of Things.International journal of analytical chemistry · 2022Article
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Authors and funding
11 authors.
Funding
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Abstract
A fully integrated sensor array assisted by pattern recognition algorithm has been a primary candidate for the assessment of complex vapor mixtures based on their chemical fingerprints. Diverse prototypes of electronic nose systems consisting of a multisensory device and a post processing engine have been developed. However, their precision and validity in recognizing chemical vapors are often limited by the collected database and applied classifiers. Here, we present a novel way of preparing the database and distinguishing chemical vapor mixtures with small data acquisition for chemical vapors and their mixtures of interest. The database for individual vapor analytes is expanded and the one for their mixtures is prepared in the first-order approximation. Recognition of individual target vapors of NO
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