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)
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.”
Key words
Kassel/Germany/Europe/Algorithms/Cyb orgs/Emerging Technologies/Machine Learning/University of Kassel
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