Data-Driven Propeller Noise Prediction Approach with Transfer and Active Learning

What is it about?

Accurate and efficient prediction of propeller noise is important to the analysis and design of various urban air mobility concepts that have emerged over the last decade. In this article, we leverage modern machine learning techniques to accelerate and improve the propeller noise prediction process.

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