首页|Reports from Guangdong University of Technology Provide New Insights into Machin e Learning (Thermal Concentrating Efficiency Enhanced for Multilayer Circular Th ermal Concentrators With Gradient Structures)
Reports from Guangdong University of Technology Provide New Insights into Machin e Learning (Thermal Concentrating Efficiency Enhanced for Multilayer Circular Th ermal Concentrators With Gradient Structures)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news reporting outof Guangzhou, People’s Republic of China, by NewsRx editors, research stated, “The thermal concentratingefficie ncy of a thermal concentrator is determined by the ratio of its interior to exte rior temperature gradients,serving as a crucial indicator influenced by the int eraction of geometrical and thermal conductivityparameters. Finding simpler and more effective ways to improve thermal concentrating efficiency has beena key concern in this field.”
GuangzhouPeople’s Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningGuangdong University of T echnology