首页|Findings on Machine Learning Detailed by Investigators at Huazhong University of Science and Technology (Optimizing Process Parameters of In-situ Laser Assisted Cutting of Glass-ceramic By Applying Hybrid Machine Learning Models)
Findings on Machine Learning Detailed by Investigators at Huazhong University of Science and Technology (Optimizing Process Parameters of In-situ Laser Assisted Cutting of Glass-ceramic By Applying Hybrid Machine Learning Models)
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Researchers detail new data in Machine Learning. According to news reporting originating in Wuhan, People's Republic o f China, by NewsRx journalists, research stated, "Glass-ceramic is an advanced o ptical material. However, its high hardness and brittleness pose significant cha llenges to achieving high-quality surfaces during the machining process." Funders for this research include National Natural Science Foundation of China ( NSFC), National Key Research & Development Program of China, Progr am for HUST Academic Frontier Youth Team.
WuhanPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningHuazhong University of Scienc e and Technology
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