首页|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)
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)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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.”
MelbourneFloridaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningFlorida Institute of Technology
NETL
NSTL
