首页|Findings from Monash University Yields New Data on Machine Learning (A Machine L earning and Cfd Modeling Hybrid Approach for Predicting Real-time Heat Transfer During Cokemaking Processes)
Findings from Monash University Yields New Data on Machine Learning (A Machine L earning and Cfd Modeling Hybrid Approach for Predicting Real-time Heat Transfer During Cokemaking Processes)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting originatingin Clayton, Australia, by New sRx journalists, research stated, “As the development of green energyand smart industries progresses, concerted efforts are being directed towards the transfor mation of cokingindustries. Effective management of heat transfer during the co king process is essential to fortify energyconsumption management and augment t he quality of coke produced.”
ClaytonAustraliaAustralia and New Ze alandComputational Fluid DynamicsCyborgsEmerging TechnologiesFluid Mecha nicsMachine LearningTechnologyMonash University
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