Szczegóły publikacji
Opis bibliograficzny
The microwave gas sensors array driven by a decision tree algorithm for enhanced 3S parameters / Anna PALECZEK, Stanisław KARCZ, Dominik GROCHALA, Mateusz KOCOŃ, Łukasz BŁAJSZCZAK, Kamil STASZEK, Artur RYDOSZ // W: 2025 URSI Asia-Pacific Radio Science Conference (URSI AP-RASC) [Dokument elektroniczny] : 17-22 August 2025, Sydney, Australia. — Wersja do Windows. — Dane tekstowe. — [Piscataway] : IEEE, 2025. — Dod. ISBN: 979-8-3315-2146-2 (print on demand). — e-ISBN: 978-9-4639-6-8157. — S. [1–4]. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. [4], Abstr. — Publikacja dostępna online od: 2025-10-08. — D. Grochala - dod. afiliacja: Advanced Diagnostic Equipment sp. z o. o., Krakow
Autorzy (7)
Dane bibliometryczne
| ID BaDAP | 163693 |
|---|---|
| Data dodania do BaDAP | 2025-11-04 |
| Tekst źródłowy | URL |
| DOI | 10.46620/URSIAPRASC25/UCRR2761 |
| Rok publikacji | 2025 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Institute of Electrical and Electronics Engineers (IEEE) |
Abstract
In the gas-sensing approach, 3S parameters are known as sensitivity, selectivity, and stability. The better the 3S parameters, the better the detection. Regardless of the detection nature of the gas sensors used to fabricate e-noses, the 3S parameters are universally used. In the case of microwave gas sensors, implementing e-noses is still pending. This paper presents the development of a decision tree algorithm to enhance the 3S parameters of microwave gas sensors based on metal oxides and tested under various conditions. A decision tree algorithm enables the detection of the 2n+2 gases. However, the theoretical analysis suggests that even more gases could be detected when the thickness of the gas-sensitive layer is optimized.
