首页|Studies from University of Kassel Update Current Data on Machine Learning (Signa l Enhancement With Double-pulse Libs On Biological Samples and Better Discrimina tion of Tissues Through Machine Learning Algorithms)
Studies from University of Kassel Update Current Data on Machine Learning (Signa l Enhancement With Double-pulse Libs On Biological Samples and Better Discrimina tion of Tissues Through Machine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Current study results on Machine Learning have be en published. According to news reportingfrom Kassel, Germany, by NewsRx journa lists, research stated, “Laser-induced breakdown spectroscopy(LIBS) is a widely used technique in the field of spectroscopy, enabling the determination of the chemicalcomposition of a variety of samples using typically single laser pulses . This paper presents the successfulintegration of femtosecond LIBS using doubl e pulses that combined with machine learning algorithmsenhanced the discriminat ion between two animal tissue types (liver and muscle) through the detection ofatomic and molecular emissions.”
KasselGermanyEuropeAlgorithmsCyb orgsEmerging TechnologiesMachine LearningUniversity of Kassel
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