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The purpose of this work is to explore the potential for predicting and improving the fuel efficiency of vehicles with thermal engines, especially in the context of reducing exhaust gas emissions that contribute to environmental pollution. With rising fuel costs, consumers need to make informed decisions about the fuel consumption and environmental impact of purchasing vehicles with internal combustion engines. To achieve this goal, the researchers utilized artificial intelligence and created a model using neural ...