Artificial Neural Networks as a Tool for High-Accuracy Prediction of In-Cylinder Pressure and Equivalent Flame Radius in Hydrogen-Fueled Internal Combustion Engines
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Keywords
hydrogen fuel; internal combustion engine; SI engine; ultra-lean conditions; GT-POWER; 1D software; optical access engine; high speed camera; combustion images; artificial intelligence; artificial neural networks; machine learning;All these keywords.
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