An intelligent instantaneous selective method, through compacted ZnO nanoparticle pellets, based on the concept of a virtual electronic nose, for different volatile organic compounds

Author:

Bouricha BrahimORCID,Souissi Riadh,El Mir Lassaad

Funder

Enseignement Supérieur et de la Recherche Scientifique

University of Carthage

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference32 articles.

1. Automated odor sensing system based on plural semiconductor gas sensors and computerized pattern recognition techniques;Abe;Analytica Chimica Acta,1987

2. Black tea classification employing feature fusion of E-nose and E-tongue responses;Banerjee;Journal of Food Engineering,2019

3. An electronic nose using conductometric gas sensors based on P3HT doped with triflates for gas detection using computational techniques (PCA, LDA, and kNN);Boujnah;Journal of Materials Science: Materials in Electronics,2022

4. A real-time sharp selectivity with In2S3 gas sensor using a nonlinear dynamic response for VOCs;Bouricha;Measurement,2021

5. VOCs identification method based on one single ZnTTP sensor;Bouricha;IEEE Sensors Journal,2022

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