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Keywords: deep learning prediction
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Proceedings Papers

Proc. ASME. POWER2023, ASME Power Applied R&D 2023, V001T04A008, August 6–8, 2023
Publisher: American Society of Mechanical Engineers
Paper No: POWER2023-109005
... capability of the deep-learning prediction framework. Model training was performed with acoustic signals at dilution levels of CO 2 ∼ 79, 81, 82, 84% while testing was performed with CO 2 ∼ 83 and 80%. Model optimization was considered with different epochs numbers of 20, 50, and 100. The trained model...