首页|Study Findings from Changchun University of Science and Technology Broaden Under standing of Machine Learning (Spectral Enhancement and Quantitative Accuracy Imp rovement of Trace Metal Elements In Aqueous Solutions Using Electrostatic-assist ed ...)
Study Findings from Changchun University of Science and Technology Broaden Under standing of Machine Learning (Spectral Enhancement and Quantitative Accuracy Imp rovement of Trace Metal Elements In Aqueous Solutions Using Electrostatic-assist ed ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Research findings on Machine Learning are discuss ed in a new report. According to news reporting out of Changchun, People’s Repub lic of China, by NewsRx editors, research stated, “This paper introduced electro static-assisted laser-induced breakdown spectroscopy (LIBS) to enhance spectral intensity and improve the quantitative accuracy of trace metal elements (Cu, Al, Zn, Ca and Na) in aqueous solutions. Firstly, the effect of the voltage and pol e-plate distance of the electrostatic field on the spectral intensity was invest igated.”
ChangchunPeople’s Republic of ChinaA siaAlgorithmsCyborgsEmerging TechnologiesMachine LearningChangchun Uni versity of Science and Technology
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