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-机器学习的新研究是一篇报道的主题。据新闻报道中国人民代表大会山东报道，NewsRx编辑，研究称，“准确无误”通过战略性地提升基准，从非糖尿病中筛选糖尿病的能力大大提高红外光谱技术在无创血糖检测中的应用仪器改造和智能频谱数据挖掘工具。首先，信噪比FTIR测定含牛血清alb葡萄糖溶液光谱特征的性能将普通的单通衰减全反射装置改为普通的单通衰减全反射装置，使umin提高2～3倍多通道反射设置。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting out of Shandong, People’s Rep ublic of China, by NewsRx editors, research stated, “The accuracyof screening d iabetes from non-diabetes is drastically enhanced by strategically upgrading the benchmarkinginfrared spectroscopy technique for non-invasive tests of blood-g lucose, both with state-of-theartinstrumentation-retrofits and with intelligen t spectral-datamining tools. First, the signal-to-noiseperformance of FTIR in m easuring the spectral features of a glucose solution containing bovine serum albumin is improved by 2-3 times with the common single-pass attenuated total-refle ction setup replaced bya multi-passes-reflections setup.”
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