The assessment of artificial intelligence (AI) application for prediction of internal combustion engine (ICE) performance and its impact on CO2 emissions is conducted in this paper. Three machine learning techniques (Random Forest. Support Vector Regression. and Semi-supervised Deep Fuzzy C-means) are developed to analyze inputs from an engine simulation software package database. https://www.otxsx.com/product-category/shorts/
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