دورية أكاديمية

Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN

التفاصيل البيبلوغرافية
العنوان: Identification of binary gases’ mixtures from time-series resistance fluctuations: A sensitivity-controllable SnO2 gas sensor-based approach using 1D-CNN
المؤلفون: Li, Xuesi, Hu, Xianyin, Li, Ang, Kometani, Reo, Yamada, Ichiro, Sashida, Kazuyuki, Noma, Makiko, Nakanishi, Katsufumi, Fukuda, Yusuke, Takemori, Toshiyuki, Maehara, Kenichi, Ikeda, Katsuya, Yoshida, Kenichi, Mita, Yoshio, Warisawa, Shin'ichi
المصدر: In Sensors and Actuators: A. Physical 1 January 2023 349
قاعدة البيانات: ScienceDirect
الوصف
تدمد:09244247
DOI:10.1016/j.sna.2022.114070