首页|New Findings in Machine Learning Described from Federal University Juiz De Fora (Addressing Uncertainty On Machine Learning Models for Long-period Fiber Grating Signal Conditioning Using Monte Carlo Method)
New Findings in Machine Learning Described from Federal University Juiz De Fora (Addressing Uncertainty On Machine Learning Models for Long-period Fiber Grating Signal Conditioning Using Monte Carlo Method)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Machine Learning. According to news originatingfrom Juiz de Fora, Brazil, by Ne wsRx correspondents, research stated, “The massive adoption of machinelearning (ML) and artificial intelligence models in the field of instrumentation and meas urement has raisedseveral doubts concerning the validity of their response and the methodology for estimating their errors. Inthis study, we revisit ML models that were used to interrogate long-period fiber grating (LPFG) sensors.”
Juiz de ForaBrazilSouth AmericaCyb orgsEmerging TechnologiesMachine LearningFederal University Juiz De Fora
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