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Jun 1, 2024 · Zhang et al. Rapid identification of adulterated cow milk by non-linear pattern recognition methods based on near infrared spectroscopy. Food chemistry. (2014).
6 days ago · This study proposed a novel approach to automatically select the preprocessing methods and hyperparameters of machine learning (ML) algorithms based on ...
Missing: Pattern Recognition
Dec 21, 2023 · The results showed that the best accuracy for predicting TCC was obtained through a color spectrophotometer (Rcal = 0.89, Rpred = 0.90, RPD = 2.44), while the ...
Jun 7, 2024 · Before evaluating Visible and near-infrared reflectance spectroscopy (Vis/NIR) data, it is crucial to decide the proper pre-processing technique on that data.
Jan 22, 2024 · To gain superior performance and powerful models, VIS-NIR spectrum data must be pre-processed. These derivatives can be quite beneficial in the near-infrared ...
Jun 7, 2024 · The pre-processed spectral data were scaled before modeling. 2.3.2 ... Using one-class autoencoder for adulteration detection of milk powder by infrared spectrum.
Missing: Recognition | Show results with:Recognition
Jul 19, 2023 · Various pre-processing techniques are employed to address common challenges such as scattering correction, baseline correction, peak shift alignment, denoising ...
Mar 6, 2024 · Abstract: Routine, remote, and process analysis for foodstuffs is gaining attention and can provide more confidence for the food supply chain.
Feb 7, 2024 · The authors identified non-linear patterns between NIR spectral data and complex pseudo-protein (melamine) concentrations while investigating milk products ...
Jun 4, 2024 · This study aims to address this gap by optimizing an HSI system for data collection, developing a preprocessing pipeline and comparing various machine learning ...
Missing: Recognition | Show results with:Recognition