首页|Data on Machine Learning Reported by Researchers at University of Southern Calif ornia (USC) (Damage Detection and Localization In Sealed Spent Nuclear Fuel Dry Storage Canisters Using Multi-task Machine Learning Classifiers)
Data on Machine Learning Reported by Researchers at University of Southern Calif ornia (USC) (Damage Detection and Localization In Sealed Spent Nuclear Fuel Dry Storage Canisters Using Multi-task Machine Learning Classifiers)
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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 originatingfrom Los Angeles, California, by N ewsRx correspondents, research stated, “Spent nuclear fuel (SNF)assemblies (FAs ), composed of bundled radioactive fuel rods, are stored in stainless-steel cani sters as aninterim dry storage option until permanent storage solutions are ava ilable. Accidental damage to thesecanisters may occur during handling or transp ortation events.”
Los AngelesCaliforniaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUni versity of Southern California (USC)
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