首页|Researchers from Wuhan University Report on Findings in Machine Learning (Pipeli ne Damage Identification In Nuclear Industry Using a Particle Swarm Optimization -enhanced Machine Learning Approach)
Researchers from Wuhan University Report on Findings in Machine Learning (Pipeli ne Damage Identification In Nuclear Industry Using a Particle Swarm Optimization -enhanced Machine Learning Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning is now available. According to news reporting from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “The safety of nuclear industry pipeline s is of paramount importance due to their vulnerability to damage from a variety of environmental factors. Ultrasonic guided wave inspection technology presents advantages such as high efficiency, low cost, and convenience, making it a wide ly adopted method for detecting damage in pipelines.”
WuhanPeople's Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningParticle Swarm OptimizationWuhan University
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