Aerodynamic Parameter Prediction via Artificial Hair Sensors with Signal Power in Turbulent Flow

What is it about?

Spatially distributed bioinspired CNT hair sensors provides abundance of information about flow condition on an aerial system. Due to their miniature size, raw information obtained from these hair sensors need to be refined with a robust algorithms. This paper presents a neural network based sensor information processing technique which includes spectral information along with the raw sensor data.

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