首页|Reports from St. Longowal Institute of Engineering & Technology Pr ovide New Insights into Machine Learning (Slurry Erosion Resistance, Morphology, and Machine Learning Modeling of Plasmasprayed Si3n4+tic+vc and Crni Based Cer amic Coatings)
Reports from St. Longowal Institute of Engineering & Technology Pr ovide New Insights into Machine Learning (Slurry Erosion Resistance, Morphology, and Machine Learning Modeling of Plasmasprayed Si3n4+tic+vc and Crni Based Cer amic Coatings)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news originatingfrom Punjab, India, by NewsRx correspon dents, research stated, “This study presents a comprehensiveanalysis of the mor phology, mechanical properties, erosion resistance, and machine learning modelin g ofSi3N4+TiC + VC and CrNi based ceramic coatings deposited via plasma sprayin g. The cross-sectionalmorphology analysis revealed good mechanical interlocking between the coatings and the substrate, withpores predominantly observed in th e Si3N4+TiC + VC coating.”
PunjabIndiaAsiaCyborgsEmerging T echnologiesMachine LearningSt. Longowal Institute of Engineering & Technology
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