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Fluorescence spectroscopy is a powerful technique usually used to evaluate phytoplankton marine environments. In this study, a kernel method (Potential Support Vector Machine, P-SVM) is presented, evaluating its capability to achieve phytoplankton classification from its fluorescence spectra. Different phytoplankton species were studied, and their fluorescence spectra were acquired in laboratory....
Several artificial intelligent methods, including support vector regression (SVR), artificial neural networks (ANNs), and partial least square (PLS) are used for the multivariate calibration in the determination of the three aromatic amino acids (phenylalanine, tyrosine and tryptophan) in their mixtures by fluorescence spectroscopy. The results of the leave-one-out method show that SVR perform better...
Initial results of a comprehensive design software that optimizes parameters for fluorescence analysis of a user-defined fluorophore are presented. SLAP (spectral LED aggregation program) automatically selects configurations of LEDs that, in a fluorescence analysis system, maximize the emission signal (useful output) as a function of the excitation signal (interference), optics, photodetection modality,...
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