首页|New Machine Learning Findings from Oak Ridge National Laboratory Described (A Ma chine Learning Approach for Particle Accelerator Errant Beam Prediction Using Sp atial Phase Deviation)

New Machine Learning Findings from Oak Ridge National Laboratory Described (A Ma chine Learning Approach for Particle Accelerator Errant Beam Prediction Using Sp atial Phase Deviation)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators discuss new findings in Machine Lea rning. According to news reporting from Oak Ridge, Tennessee, by NewsRx journali sts, research stated, “Particle accelerators are extremely complex systems that are expected to operate on high availability. Predicting impending failures only by utilizing data collected from diagnostic equipment already on board can help operators to avoid installing expensive sensors, unscheduled downtime and assoc iated costs.”

Oak RidgeTennesseeUnited StatesNor th and Central AmericaCyborgsEmerging TechnologiesMachine LearningPartic le AcceleratorPhysicsOak Ridge National Laboratory

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jun.10)