… combining spectral and textural information from hyperspectral imaging to improve the
prediction … , by conducting the variable combination population analysis–iteratively retaining …

… visualized using the fused LS-SVM model with image processing algorithms. This indicated
that integrating spectral … predict the TVB-N value and visualize its distribution in cooked beef. …

… To this end, this paper combined different spectral data and research indicators and
compared the effects of different methods, including the derivative method, baseline calibration, …

… and other demonstrations of computed vibrational spectral predictions. We found it convenient
… for combining computational chemistry, freeware plug-ins, and experimental spectroscopy …

… on the 16 visualizations, which are, the proposed spectral meta-… equal weights to all the
candidate visualizations, as in (4). … predictions, suggesting benefits of including more diverse …

… Among the collected spectral information, the spectral data of some bands could be …
wavelengths and combined with the PLS algorithm. The quantitative prediction model of catechin in …

… was visualized using the best fused BP-ANN model with imaging process method. The results
reveal that the combination of spectral … potential for the prediction and visualization of the …

… and other demonstrations of computed vibrational spectral predictions. We found it convenient
… for combining computational chemistry, freeware plug-ins, and experimental spectroscopy …

… In combination with machine learning algorithms, Raman … Three kinds of filters are simply
designed to predict the signal-to-noise ratio of Raman spectral signals and set the size of the …

… distributed spectra, it was possible to substitute the spectra with the predicted bacterial …
the ACO algorithm selects an optimal combination of the wavebands as compared to the full …