首页|S.N. Bose National Center for Basic Sciences Details Findings in Machine Learnin g (Development of a Semi-supervised Machine Learning Based Noise Filter for Quan tum Cascade Laser-coupled Mid-infrared Spectrometer)
S.N. Bose National Center for Basic Sciences Details Findings in Machine Learnin g (Development of a Semi-supervised Machine Learning Based Noise Filter for Quan tum Cascade Laser-coupled Mid-infrared Spectrometer)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reportingoriginating in Kolkata, India, by NewsRx journalists, research stated, “The rapid and accurate quantitativedeterminatio n of molecular rovibrational spectral features is highly desirable for applicati ons in fundamentalhigh-resolution spectroscopy, trace chemical sensing, and env ironmental monitoring. But significantspectral noise can impede the accuracy an d precision of such spectral measurements as well as the preciseclassification of fine and hyperfine spectral fingerprints.”
KolkataIndiaAsiaCyborgsEmerging TechnologiesMachine LearningS.N. Bose National Center for Basic Sciences
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