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holographic-scattering-spectrum-for-mixed-pollutants-analysis icon holographic-scattering-spectrum-for-mixed-pollutants-analysis

We present a machine learning (ML) method for rapid detecting mixed pollutants through the synergistic application of holographic scattering spectrums and convolutional neural networks. The results showed that a well-trained ML model could realize quantitative analysis of the multi-component samples by extracting spectral information of matters, suggesting its value in facilitating the study of complex chemical systems. This repository is a data support for our paper under submission. To advance the research, we will fully demonstrate our progresses, and share our data sets including image sets and their labels. All rights reserved. Free for academic use only.

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Implementation of t-SNE visualization algorithm in Javascript.

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