摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-机器学习的研究结果在一份新的报告中讨论。根据来自中国武汉的新闻报道，NewsRx记者，研究指出：“激光诱导击穿光谱(LIBS)是一种用gre进行光谱分析的技术。”由于其在在线/原位检测方面的独特优势，具有广阔的应用前景。然而，由于激光诱导发射源的空间不均匀性和剧烈的时间变化特性在等离子体中，很难找到或产生合适的时空窗口来实现高重复频率具有较低矩阵效应的LE信号收集"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. Accordingto news reporting originating in Wuhan, People’s Republic of China, by NewsRx journalists, researchstated, “Laser-indu ced breakdown spectroscopy (LIBS) is a spectroscopic analytic technique with gre atapplication potential because of its unique advantages for online/in-situ det ection. However, due to thespatially inhomogeneity and drastically temporal var ying nature of its emission source, the laser-inducedplasma, it is difficult to find or hard to generate an appropriate spatiotemporal window for high repeatable signal collection with lower matrix effects.”
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