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Commit 6d020847 authored by DIANE's avatar DIANE
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......@@ -9,7 +9,8 @@ Imagine a laboratory setting where laboratory personnel are tasked with determin
This workflow was developed to address these challenges by providing a semi-automatic solution that simplifies the development of NIRS calibrations and facilitates predictions using these calibrations. Its primary objective is to reduce the barriers for laboratory personnel performing analyses, whether they are beginners or experienced professionals. The workflow helps minimize reliance on costly and time-consuming wet chemistry while enabling efficient and accurate data processing. Furthermore, it extends its utility beyond NIRS to other optical techniques, such as MIRS, broadening its applicability to a wider range of analytical methods. By offering diverse functionalities and intuitive tools, it not only supports various spectroscopic techniques but also enhances laboratory efficiency, making it a versatile and essential resource for modern analytical workflows.
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## Main Features
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The NIRS workflow integrates a powerful collection of advanced data analysis algorithms, commonly used for infrared (IR) data processing. It spans the entire NIRS calibrations development pipeline, from signal preprocessing to the implementation of both supervised and unsupervised machine learning techniques.
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