Highly Selective Multiple Gases Detection Using a Thermal-Conductivity-Based MEMS Resonator and Machine Learning

Journal article

Peer reviewed

IEEE sensors journal, Vol.22(20), pp.19858-19866

15/10/2022

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Title: Highly Selective Multiple Gases Detection Using a Thermal-Conductivity-Based MEMS Resonator and Machine Learning
Creators - without role: Usman Yaqoob - King Abdullah University of Science and Technology
Wagner Barth Lenz - King Abdullah University of Science and Technology
Nouha Alcheikh - King Abdullah University of Science and Technology
Nizar Jaber - King Fahd University of Petroleum and Minerals
Mohammad I. Younis - Binghamton University
Publication Details: IEEE sensors journal, Vol.22(20), pp.19858-19866
Identifiers: 9941347008331
Academic Unit: King Abdullah University of Science & Technology; King Fahd University of Petroleum & Minerals
Language: English
Resource Type: Journal article