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discriminantanalysis, etc ; algorithms; data analysis; data collection; prediction; Show all 5 Subjects
Abstract:
... Linear discriminant analysis (LDA) is a well-known method for multiclass classification and dimensionality reduction. However, in general, ordinary LDA does not achieve high prediction accuracy when observations in some classes are difficult to be classified. A novel cluster-based LDA method is proposed that significantly improves prediction accuracy. Hierarchical clustering is adopted, and the di ...
discriminantanalysis, etc ; crop yield; sugarcane; technology; weather; India; Show all 6 Subjects
Abstract:
... Discriminant function analysis has been used for forecasting of Sugarcane yield of Coimbatore district in Tamilnadu. Crop yield has been classified into two and three groups. Using this crop yield and monthly data on weather variables,discriminant function analysis has been carried out. The scores calculated from function this along with the trend have used as regressors in developing yield foreca ...
discriminantanalysis, etc ; Eragrostis tef; agroecology; food supply chain; models; multivariate analysis; prediction; Show all 7 Subjects
Abstract:
... Varieties of a single crop type may vary in several attributes affecting the choice at different spots of the food supply chain. This paper demonstrates a rapid classification of ten tef [Eragrostis tef (Zucc.) Trotter] grain varieties based on image processing and multivariate data analysis. Extreme Gradient Boosted Tree Discriminant Analysis (EGBDA) was applied for the variety-based classificati ...
discriminantanalysis, etc ; automation; chemometrics; fluorescence; fluorescence emission spectroscopy; food chemistry; market economy; spectral analysis; Show all 8 Subjects
Abstract:
... Accurate identification of various liquors from the same brand is of great significance for safeguarding the rights and interests of consumers and the market economy. Here, the spectral properties of liquors were studied based on ultraviolet (UV), near-infrared (NIR) and multi-way fluorescence spectroscopy. Then these liquors were distinguished by integrating their spectral properties with the che ...
discriminantanalysis, etc ; altitude; carbon; food safety; hydrogen; models; multivariate analysis; nitrogen; oxygen isotopes; pork; China; Show all 11 Subjects
Abstract:
... A potential tool for authenticating Tibetan pork based on species and geographical origins was investigated by isotopic and multi-elemental fingerprints to compare Tibetan pork and plain pork from various regions in China. In this study, carbon, nitrogen, hydrogen and oxygen isotope compositions and concentrations of 50 elements of a total of 93 pork samples (Tibetan pork from Tibet and Sichuan, J ...
discriminantanalysis, etc ; food safety; grapes; liquid chromatography; mass spectrometry; models; multivariate analysis; prediction; product authenticity; spectrometers; white wines; Show all 11 Subjects
Abstract:
... Instrument comparability is a major prerequisite for the harmonization of non-targeted analytical approaches for food authentication. While non-targeted liquid chromatography coupled with mass spectrometry (LC-MS) is a powerful and widely used technique in authenticity studies, inter-laboratory or instrument comparison exercises are rare. For the first time, in the present study a comparison of tw ...
discriminantanalysis, etc ; chemometrics; decision support systems; flavonoids; food safety; grapes; tandem mass spectrometry; ultra-performance liquid chromatography; white wines; Show all 9 Subjects
Abstract:
... The use of metabolic fingerprinting combined with advanced chemometric tools for wine authentication has increased in recent years. Although numerous studies, showing different authentication strategies, have been published, rarely any attention has been paid to the stability of used classification models over a longer time period. Here, we present a reliable and robust metabolic fingerprinting-ba ...
discriminantanalysis, etc ; absorption; alcohols; cluster analysis; data collection; fluorescence; food safety; fructose; glucose; pH; principal component analysis; titratable acidity; wines; Show all 13 Subjects
Abstract:
... Authentication of wine can be considered at different scales, with classification according to country, province/state, or appellation/wine producing region. An absorbance-transmission and excitation-emission matrix (A-TEEM) technique was applied for the first time to examine intraregional differences, using Shiraz wines (n = 186) produced during three vintages from five subregions of Barossa Vall ...
discriminantanalysis, etc ; Helianthus annuus; anchovies; chemometrics; docosahexaenoic acid; eicosapentaenoic acid; fish oils; food chemistry; gas chromatography; linseed oil; off odors; oxidation; vegetables; Show all 13 Subjects
Abstract:
... Fish oil develops particular off-odors, mainly fishy odor, from the oxidation of its characteristic fatty acids, docosahexaenoic (DHA) and eicosapentaenoic (EPA). Anchovy oil (AO) was taken as representative of fish oils. This was compared to three vegetable oils with different fatty acid compositions, i.e. camellia, sunflower and linseed oil, and differential volatile compounds were identified by ...
discriminantanalysis, etc ; blood; comparative study; elderly; environment; environmental monitoring; equations; exposome; hemoglobin; metabolites; metabolome; metabolomics; neonates; potassium; principal component analysis; specific gravity; variance; Show all 17 Subjects
Abstract:
... Dried blood spot (DBS) metabolomics has numerous applications in newborn health screening, exposomics, and biomonitoring of environmental chemicals in pregnant women and the elderly. However, accurate metabolite quantification is hindered by several challenges: notably the “hematocrit effect” and unknown blood-spotting volumes. Different techniques have been employed to overcome these issues but t ...
discriminantanalysis, etc ; Platostoma palustre; arachidonic acid; biosynthesis; body weight; cyclophosphamide; feces; food science; humans; liver; metabolites; metabolomics; models; phenylalanine; polysaccharides; principal component analysis; sphingolipids; taurine; tryptophan; tyrosine; Show all 20 Subjects
Abstract:
... The main purpose of this study was to investigate the improvement effect of Mesona chinensis Benth polysaccharide (MP) on cyclophosphamide (CTX) induced liver injury in mice. To explore metabolic profile of liver tissue and feces among normal group, CTX-induced group and MP management group based on metabolomics method by using UPLC-Q-TOF/MS. The results showed that MP could alleviate liver injury ...
discriminantanalysis, etc ; equipment; fruits; strawberries; Show all 4 Subjects
Abstract:
... The quality of the strawberry appearance is the most important indicator for consumers and modern fruit process engineering, which is closely associated with the ripeness and diseases. The continuous development of profound deep learning has greatly helped the recognition of strawberry appearance quality, granting a vigorous tool of relative precise outcomes, but the better performance of deep lea ...
discriminantanalysis, etc ; desserts; gastronomy; salads; Show all 4 Subjects
Abstract:
... The assessment of food preparations offered to workers, taking into consideration the use of ingredients according to the type of industrial processing, is important in order to promote the health of this population. This study aimed to elaborate and validate an instrument to qualitatively assess food preparations offered to workers by food services, focusing on the extent and purpose of the indus ...
discriminantanalysis, etc ; atherosclerosis; data collection; Show all 3 Subjects
Abstract:
... Classification methods that leverage the strengths of data from multiple sources (multiview data) simultaneously have enormous potential to yield more powerful findings than two‐step methods: association followed by classification. We propose two methods, sparse integrative discriminant analysis (SIDA), and SIDA with incorporation of network information (SIDANet), for joint association and classif ...
... Commercial forest species discrimination is valuable for optimal management of commercial forests. Therefore, second-order image texture combinations computed from a 0.5 m WorldView-2 pan-sharpened image integrated with sparse partial least squares discriminant analysis (SPLS-DA) and partial least squares discriminant analysis (PLS-DA) were used to discriminate commercial forest species. The findi ...
discriminantanalysis, etc ; smell; sourness; temperature; umami; Show all 5 Subjects
Abstract:
... In this study, a material of pseudoplastic fluid was obtained by dealing with the original material of Pixian Douban (PXDB). The multi-scale temperature and flow fields (MTFF) were established, and a PXDB product fermented in the MTFF (PFM) was obtained. Meanwhile, the material of pseudoplastic fluid and the original material was also fermented into PXDB products named MPTF and OMP, respectively, ...
discriminantanalysis, etc ; animals; electrophoresis; fur; models; Show all 5 Subjects
Abstract:
... The accurate identification of animal species used for fur is important for conserving endangered animals, stopping illegal fur distribution, and addressing consumer concerns. Animal species used for fur are currently differentiated by observing species‐specific morphological fur‐hair features through a microscope. Although this method is simple, the results may differ among inspectors owing to it ...
discriminantanalysis, etc ; Myotis; color; humidity; pigmentation; Alberta; Show all 6 Subjects
Abstract:
... Gloger's rule is an ecogeographical pattern observed in many vertebrates whereby populations in more humid environments have darker pigmentation than populations in more arid environments. The coat color for several species of temperate bats exhibits this pattern, including the Western Long-eared Bat (Myotis evotis) in coastal versus interior populations. We tested Gloger's rule by comparing the c ...
discriminantanalysis, etc ; agriculture; chickpeas; support vector machines; Show all 4 Subjects
Abstract:
... The existence of dockage, unripe kernels, and foreign materials in chickpea mixtures is one of the main concerns during chickpea storage and marketing. Novel algorithms based on image processing were developed to detect undesirable, foreign materials, and matured chickpea kernels in the chickpea mixture. Images of 270 objects including 54 sound samples and 36 samples of each undesired object were ...
discriminantanalysis, etc ; forests; humans; landslides; morphometry; prediction; probability; Show all 7 Subjects
Abstract:
... This study tests the applicability of three resampling methods (i.e. bootstrapping, random-subsampling and cross-validation) for enhancing the performance of eight machine-learning models: boosted regression trees, flexible discriminant analysis, random forests, mixture discriminate analysis, multivariate adaptive regression splines, classification and regression trees, support vector machines and ...