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Deep learning for gas sensing using MOFs coated weakly-coupled microbeams
Mehdi Ghommem
, Vladimir Puzyrev
, Rana Sabouni
,
Fehmi Najar
American University of Sharjah
Curtin University
University of Carthage
Research output
:
Contribution to journal
›
Article
›
peer-review
22
Scopus citations
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Engineering
Deep Learning Method
100%
Gas Sensor
100%
Dynamic Response
66%
Actuation
66%
Methane
66%
Mathematical Model
33%
Resonant Frequency
33%
Support Vector Machine
33%
Deep Neural Network
33%
Microelectromechanical System
33%
Exhaust Gas
33%
Good Accuracy
33%
Classical Method
33%
Food Safety
33%
Air Quality
33%
Sensor Model
33%
Chemical Engineering
Carbon Dioxide
100%
Deep Learning Method
100%
Neural Network
50%
Deep Neural Network
50%
Metal-Organic Frameworks
50%
Support Vector Machine
50%
Microelectromechanical System
50%
Material Science
Metal-Organic Framework
100%
Gas Sensor
100%
Carbon Dioxide
66%
Exhaust Gas
33%
Microelectromechanical System
33%