Robotics & Machine Learning Daily News2024,Issue(Oct.11) :114-115.

Fuyang Normal University Researcher Yields New Findings on Machine Learning (Rel iability Analysis and Machine Learning Prediction for a Repairable Load-Sharing K -Out-of- N + W : G Power Supply System)

Robotics & Machine Learning Daily News2024,Issue(Oct.11) :114-115.

Fuyang Normal University Researcher Yields New Findings on Machine Learning (Rel iability Analysis and Machine Learning Prediction for a Repairable Load-Sharing K -Out-of- N + W : G Power Supply System)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news reporting out of Fuyang, People’s Republic of China, by NewsRx editors, research stated, “Based on a power supply system, a repairable K-out-of- $N+W$: G system with c repairmen and warm spares is considered, where each repairman asynchronously takes multip le working vacations and vacation interruption policy.” Financial supporters for this research include Natural Science Foundation of Anh ui Province of China; Cultivation Funding Projects For Excellent Youth Scholars of Anhui Province; Natural Science Foundation of Anhui Higher Education Institut ions of China; Building of Brand Speciality Projects of Fuyang Normal University .

Key words

Fuyang Normal University/Fuyang/People ’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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