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Unsupervised Classification of Essential Information in Hyperspectral Imaging for Intelligent Identification of Trace Adulterants in Food Matrix
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/mas.21779openalex-snapshot
Mass spectrometry in food authentication and origin traceability
inferredcites →https://doi.org/10.1007/s11831-021-09600-yopenalex-snapshot
Food Adulteration Detection using Artificial Intelligence: A Systematic Review
inferredcites →https://doi.org/10.1016/j.aca.2020.10.040openalex-snapshot
Joint selection of essential pixels and essential variables across hyperspectral images
inferredcites →https://doi.org/10.1016/j.aca.2022.339532openalex-snapshot
Selection of essential spectra to improve the multivariate curve resolution of minor compounds in complex pharmaceutical formulations
inferredcites →https://doi.org/10.1016/j.asoc.2020.106990openalex-snapshot
A generalized average linkage criterion for Hierarchical Agglomerative Clustering
inferredcites →https://doi.org/10.1016/j.chemolab.2024.105174openalex-snapshot
Exploratory analysis of hyperspectral imaging data
inferredcites →https://doi.org/10.1016/j.crfs.2021.01.002openalex-snapshot
Machine learning techniques for analysis of hyperspectral images to determine quality of food products: A review
inferredcites →https://doi.org/10.1016/j.foodcont.2022.108970openalex-snapshot
Portable NIR spectroscopy and PLS based variable selection for adulteration detection in quinoa flour
inferredcites →https://doi.org/10.1016/j.jhazmat.2024.134849openalex-snapshot
Magnetic-gold nanoparticle-mediated paper-based biosensor for highly sensitive colorimetric detection of food adulteration
inferredcites →https://doi.org/10.1016/j.sab.2022.106508openalex-snapshot
Interesting features finder (IFF): Another way to explore spectroscopic imaging data sets giving minor compounds and traces a chance to express themselves
inferredcites →https://doi.org/10.1016/j.sab.2024.107004openalex-snapshot
Investigating critical metals Ge and Ga in complex sulphide mineral assemblages using LIBS mapping
inferredcites →https://doi.org/10.1016/j.talanta.2024.125845openalex-snapshot
Essential spectral pixels-based improvement of UMAP classifying hyperspectral imaging data to identify minor compounds in food matrix
inferredcites →https://doi.org/10.1016/j.tifs.2016.01.011openalex-snapshot
Data mining derived from food analyses using non-invasive/non-destructive analytical techniques; determination of food authenticity, quality & safety in tandem with computer science disciplines
inferredcites →https://doi.org/10.1016/j.tifs.2021.10.010openalex-snapshot
Raman spectroscopic techniques for nondestructive analysis of agri-foods: A state-of-the-art review
inferredcites →https://doi.org/10.1016/j.tifs.2023.03.027openalex-snapshot
Chicanery in the food supply chain! Food fraud, mitigation, and research needs in low-income countries
inferredcites →https://doi.org/10.1016/j.tifs.2024.104377openalex-snapshot
Spectroscopic food adulteration detection using machine learning: Current challenges and future prospects
inferredcites →https://doi.org/10.1016/j.trac.2021.116305openalex-snapshot
Fighting food frauds exploiting chromatography-mass spectrometry technologies: Scenario comparison between solutions in scientific literature and real approaches in place in industrial facilities
inferredcites →https://doi.org/10.1021/acs.analchem.3c01383openalex-snapshot
Assessment of Essential Information in the Fourier Domain to Accelerate Raman Hyperspectral Microimaging
inferredcites →https://doi.org/10.1021/acs.analchem.4c00237openalex-snapshot
Enhancing Diagnostic Capabilities for Occupational Lung Diseases Using LIBS Imaging on Biopsy Tissue
inferredcites →https://doi.org/10.1021/acs.analchem.9b02890openalex-snapshot
Essential Spectral Pixels for Multivariate Curve Resolution of Chemical Images
inferredcites →https://doi.org/10.1037/h0071325openalex-snapshot
Analysis of a complex of statistical variables into principal components.
inferredcites →https://doi.org/10.1038/s41598-023-49051-yopenalex-snapshot
Systematic reduction of hyperspectral images for high-throughput plastic characterization
inferredcites →https://doi.org/10.1080/10408398.2020.1777526openalex-snapshot
Detection of adulteration in food based on nondestructive analysis techniques: a review
inferredcites →https://doi.org/10.1111/1541-4337.12217openalex-snapshot
Recent Advances in Nondestructive Analytical Techniques for Determining the Total Soluble Solids in Fruits: A Review
inferredcites →https://doi.org/10.1126/science.290.5500.2319openalex-snapshot
A Global Geometric Framework for Nonlinear Dimensionality Reduction
inferredcites →https://doi.org/10.1126/science.290.5500.2323openalex-snapshot
Nonlinear Dimensionality Reduction by Locally Linear Embedding
inferredcites →https://doi.org/10.18637/jss.v061.i06openalex-snapshot
NbClust : An R Package for Determining the Relevant Number of Clusters in a Data Set
inferredcites →https://doi.org/10.3390/heritage5040211openalex-snapshot
Interesting Features Finder: A New Approach to Multispectral Image Analysis
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