CMOS-MEMS Gas Sensor Dubbed GMOS for SelectiveAnalysis of Gases with Tiny Edge Machine Learning

Embedded machine learning, TinyML, is a relatively new and fast-growing field of ML, enabling on-device sensor data analytics at low power requirements. This paper presents possible improvements to GMOS, a gas sensor, using TinyML technology. GMOS is a low-cost catalytic gas sensor, fabricated with...

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主要な著者:	Adir Krayden, Maayan Schohet, Oz Shmueli, Dima Shlenkevitch, Tanya Blank, Sara Stolyarova, Yael Nemirovsky
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-11-01
シリーズ:	Engineering Proceedings
主題:	TinyML MEMS gas sensor SOI MOS data analytics
オンライン･アクセス:	https://www.mdpi.com/2673-4591/27/1/81
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