首页|Studies from Annamalai University in the Area of Machine Learning Described (App lication of Response Surface Methodology and Machine Learning Approaches To Pred ict Porosity and Compression Strength of Selective Laser-sintered Polyamide-12 . ..)
Studies from Annamalai University in the Area of Machine Learning Described (App lication of Response Surface Methodology and Machine Learning Approaches To Pred ict Porosity and Compression Strength of Selective Laser-sintered Polyamide-12 . ..)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Researchers detail new data in Machine Learning. According to news reporting originating in Tamil Nadu, India, by News Rx journalists, research stated, "Recent improvements in Selective Laser Sinteri ng (SLS) technology have prompted researchers to examine the fabrication method as a solution for patient-specific orthopedic issues. Although SLS remains a des irable method for sintering polymer materials, poor selection of process paramet er ranges can reduce the porosity of manufactured components and decrease the me chanical performance."
Tamil NaduIndiaAsiaCyborgsEmergi ng TechnologiesMachine LearningTechnologyAnnamalai University
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