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Improving the chemical selectivity of an electronic Nose to TNT, DNT and RDX using machine learning
Anton Gradišek, Marion Van Midden, Matija Koterle, Vid Prezelj, Drago Strle, Bogdan Štefane, Helena Brodnik Žugelj, Mario Trifković, Ivan Kvasić, Erik Zupanič, Igor Muševič
Izvirni znanstveni članek
Oznake: artificial nose;e-nose;electronic nose;detection of explosives;chemical selectivity of e-nose;arrays of sensors;machine learning and sensor arrays;
We used a 16-channel e-nose demonstrator based on micro-capacitive sensors with functionalized surfaces to measure the response of 30 different sensors to the vapours from 11 different substances, including the explosives 1,3,5-trinitro-1,3,5-triazinane (RDX), 1-methyl-2,4-dinitrobenzene (DNT) and 2 ...
Leto: 2019 Vir: Fakulteta za elektrotehniko (UL FE)
Št. zadetkov: 1
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