首页|Reports on Machine Learning from Hunan University Provide New Insights (Develop Machine Learning-based Model and Automated Process for Predicting Liquid Heat Ca pacity of Organics At Different Temperatures)
Reports on Machine Learning from Hunan University Provide New Insights (Develop Machine Learning-based Model and Automated Process for Predicting Liquid Heat Ca pacity of Organics At Different Temperatures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on Machine Learning are pre sented in a new report. According to newsreporting originating in Xiangtan, Peo ple’s Republic of China, by NewsRx journalists, research stated,“Heat capacity of compounds is an important reference parameter in thermodynamic, chemical proc esses,energy storage, heat transfer, heat exchange. However, the heat capacity data of most liquid compoundsare missing due to the limited availability of dat a and the complexity of its experimental measurement.”
XiangtanPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningHunan University
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