首页|Research in the Area of Machine Learning Reported from Ferdowsi University of Ma shhad (Machine Learning-Based Predictions of Metal and Non-Metal Elements in Eng ine Oil Using Electrical Properties)
Research in the Area of Machine Learning Reported from Ferdowsi University of Ma shhad (Machine Learning-Based Predictions of Metal and Non-Metal Elements in Eng ine Oil Using Electrical Properties)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on artificial intelligence is now available. According to news reportingoriginating from Mashhad, Iran, b y NewsRx correspondents, research stated, “This study investigates theinfluence of six metallic and non-metallic elements (Fe, Cr, Pb, Cu, Al, Si) on the quali ty of engine oil undernormal, cautious, and critical conditions. To achieve thi s, the research employs the Design of Experiments(DoE) approach, specifically t he Box-Behnken Design (BBD) method, for designing experiments.”Funders for this research include Ferdowsi University of Mashhad.
Ferdowsi University of MashhadMashhadIranAsiaCyborgsEmerging TechnologiesMachine Learning
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