The 8th International Electronic Conference on Sensors and Applications 2021
DOI: 10.3390/ecsa-8-11250
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Temperature Stability Investigations of Neural Network Models for Graphene-Based Gas Sensor Devices

Abstract: Chemiresistive gas sensors are a crucial tool for monitoring gases on a large scale. For the estimation of gas concentrations based on the signals provided by such sensors, pattern recognition tools, such as neural networks, are widely used after training them on data measured by sample sensors and reference devices. However, in the production process of low-cost sensor technologies, small variations in their physical properties can occur, which can alter the measuring conditions of the devices and make them l… Show more

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