首页|Findings from Northeastern University in Machine Learning Reported (Machine Lear ning Assisted Fast Demodulation of Large Dynamic Range Dual-parameter Optical Fi ber Sensors)
Findings from Northeastern University in Machine Learning Reported (Machine Lear ning Assisted Fast Demodulation of Large Dynamic Range Dual-parameter Optical Fi ber Sensors)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting from Shenyang, People's Republic of China, by NewsRx journalists, research stated, "The mutual constraint between se nsitivity and measurement range has always been a problem that restricts the dev elopment and application of optical fiber interference sensors. We propose a new high-sensitivity tapered dual-parameter optical fiber sensor packaged with poly dimethylsiloxane (PDMS) in this article." Funders for this research include National Key Research and Development Program of China, National Natural Science Foundation of China (NSFC), State Key Laborat ory of Synthetical Automation for Process Industries, Natural Science Foundation of Hebei Province.
ShenyangPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningNortheastern University
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