Ultralow-Power Single-Sensor-Based E-Nose System Powered by Duty Cycling and Deep Learning for Real-Time Gas Identification

Fuente: arXiv

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Bibliographic Details
Main Authors:	Kim, Taejung, Kim, Yonggi, Cho, Wootaek, Kwak, Jong-Hyun, Cho, Jeonghoon, Pyeon, Youjang, Kim, Jae Joon, Shin, Heungjoo
Format:	Preprint
Published:	2024
Subjects:	Applied Physics Mesoscale and Nanoscale Physics Chemical Physics
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2404.17130