WIDE FIELD SPECTRAL IMAGING WITH SHIFTED EXCITATION RAMAN DIFFERENCE SPECTROSCOPY USING THE NOD AND SHUFFLE TECHNIQUE

Wide Field Spectral Imaging with Shifted Excitation Raman Difference Spectroscopy Using the Nod and Shuffle Technique

Wide field Raman imaging using the integral field spectroscopy approach was used as a fast, one shot imaging method for the simultaneous collection of all spectra composing a Raman image.For the suppression Vinyl 7" 45 of autofluorescence and background signals such as room light, shifted excitation Raman difference spectroscopy (SERDS) was applied

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Benchmarking Assessment of Supervised Machine Learning Algorithms of K-Nearest Neighbor, Random Forest, Decision Tree and Its Variants Based On Efficiency and Performance Metrics

Machine learning provides more verbose algorithms capable of accurately predicting, classifying groups as needed.Consequently, the objective of this paper is to assess the benchmarking of Supervised Machine Learning Algorithms of K-Nearest Neighbor, Random Forest, Decision Tree and it variants (ID3, C4.5, C5.0 and CART) based on efficiency and perf

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