CORDIS Project
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This project develops a novel acoustic micro-electromechanical systems gas sensor that utilizes machine learning to detect various gases. By measuring acoustic resonance and damping changes, the sensor aims to improve gas detection for applications in human health and indoor air quality.
I am proposing a novel acoustic MEMS gas sensor with machine learning for the first time that can revolutionize the gas sensing field.
Gas sensors targeting only a specific type of gas are developed due to the nature of the existing sensing technologies.
Current gas sensors either rely on the detection of the electrical property changes upon the reaction of an active material with the gas or infrared (IR) transmission/absorption characteristics of the gases. I am proposing to couple the acoustic…
BILKENT UNIVERSITESI VAKIF
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