Robotics & Machine Learning Daily News2024,Issue(Nov.4) :30-31.

Data on Machine Learning Discussed by Researchers at Florida Institute of Techno logy (Accurate Loss Prediction of Realistic Hollowcore Anti-resonant Fibers Usi ng Machine Learning)

Robotics & Machine Learning Daily News2024,Issue(Nov.4) :30-31.

Data on Machine Learning Discussed by Researchers at Florida Institute of Techno logy (Accurate Loss Prediction of Realistic Hollowcore Anti-resonant Fibers Usi ng Machine Learning)

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Abstract

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 originating from Melbourne, Florida, by NewsRx cor respondents, research stated, “Hollow-core anti-resonant fibers (HC-ARFs) have p roven to be an indispensable platform for various emerging applications due to t heir unique and extraordinary optical properties. However, accurately estimating the propagation loss of nested HC-ARFs remains a challenging task due to their complex structure and the lack of precise analytical and theoretical models.”

Key words

Melbourne/Florida/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/Florida Institute of Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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