首页|New Findings from University of Science and Technology China Update Understanding of Machine Learning (Design and Optimization of the Novel Thermally Regenerative Electrochemical Cycle Power Device Based On Machine Learning)
New Findings from University of Science and Technology China Update Understanding of Machine Learning (Design and Optimization of the Novel Thermally Regenerative Electrochemical Cycle Power Device Based On Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Machine Learning. According to news reportingoriginating from Hefei, People’s Republic of China, by NewsRx correspondents, research stated, “Utilizinglow grade heat and waste heat to generate electricity not only mitigates environmental impacts, meanwhileit enhances energy efficiency and lowers energy expenses. Thermal regenerative electrochemical cycles(TREC) can directly convert low grade heat to electricity, and it has a massive potential for low grade heatutilization.”
HefeiPeople’s Republic of ChinaAsiaChemicalsCyborgsElectrochemicalsEmerging TechnologiesMachine LearningUniversity of Science and Technology China
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