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Analysis of the Spectroscopic Algorithm for Light Sensors
The paper presents an overview of existing and new algorithms for the processing of spectroscopic data. These include algorithms for background elimination, for separation of peak containing regions from peak-free regions, deconvolution and identification of information. This special issue belongs to the section " Optical Sensors ". pectral sensors are at the forefront of this transformation. We review recent advancements in AI-driven spectral analysis, propose a methodology combini g machine learning models with. Advanced spectroscopy plays a crucial role in the application of sensors across various industries, enabling precise and sensitive detection of substances based on their unique spectral signatures.
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