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You searched for: Subject "discriminant analysis" Remove constraint Subject: "discriminant analysis"
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1. Hierarchical clustered multiclass discriminant analysis via cross-validation

Author:
Kei Hirose; Kanta Miura; Atori Koie
Source:
Computational statistics & data analysis 2023 v.178 pp. 107613
ISSN:
0167-9473
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.csda.2022.107613

2. Sugarcane yield forecast using weather based discriminant analysis

Author:
S R Krishan Priya; R Keerti Balambiga; Pradeep Mishra; Soumitra Sankar Das
Source:
Smart agricultural technology 2023 v.3 pp. 100076
ISSN:
2772-3755
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.atech.2022.100076

3. Rapid classification of tef [Eragrostis tef (Zucc.) Trotter] grain varieties using digital images in combination with multivariate technique

Author:
Bezuayehu Gutema Asefa; Fikadu Tsige; Mina Mehdi; Tamirat Kore; Aschalew Lakew
Source:
Smart agricultural technology 2023 v.3 pp. 100097
ISSN:
2772-3755
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.atech.2022.100097

4. Identification of liquors from the same brand based on ultraviolet, near-infrared and fluorescence spectroscopy combined with chemometrics

Author:
Miao He; Xiaolong Chen; Jing Zhang; Jiawei Li; Dong Zhao; Yang Huang; Danqun Huo; Xiaogang Luo; Changjun Hou
Source:
Food chemistry 2023 v.400 pp. 134064
ISSN:
0308-8146
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.foodchem.2022.134064

5. Authenticating Tibetan pork in China by tracing the species and geographical features based on stable isotopic and multi-elemental fingerprints

Author:
Laiyu Zhao; Hongru Zhang; Feng Huang; Hao Liu; Tianze Wang; Chunhui Zhang
Source:
Food control 2023 v.145 pp. 109411
ISSN:
0956-7135
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.foodcont.2022.109411

6. Instrument comparability of non-targeted UHPLC-HRMS for wine authentication

Author:
Mona Ehlers; Leos Uttl; Janet Riedl; Julia Raeke; Imke Westkamp; Jana Hajslova; Jens Brockmeyer; Carsten Fauhl-Hassek
Source:
Food control 2023 v.144 pp. 109360
ISSN:
0956-7135
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.foodcont.2022.109360

7. Critical assessment of chemometric models employed for varietal authentication of wine based on UHPLC-HRMS data

Author:
Leos Uttl; Kamila Bechynska; Mona Ehlers; Vaclav Kadlec; Klara Navratilova; Zbynek Dzuman; Carsten Fauhl-Hassek; Jana Hajslova
Source:
Food control 2023 v.143 pp. 109336
ISSN:
0956-7135
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.foodcont.2022.109336

8. Absorbance-transmission and fluorescence excitation-emission matrix (A-TEEM) with multi-block data analysis and machine learning for accurate intraregional classification of Barossa Shiraz wine

Author:
Ranaweera K.R. Ranaweera; Susan E.P. Bastian; Adam M. Gilmore; Dimitra L. Capone; David W. Jeffery
Source:
Food control 2023 v.144 pp. 109335
ISSN:
0956-7135
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.foodcont.2022.109335

9. A chemometric study on the identification of 5-methylfurfural and 2-acetylfuran as particular volatile compounds of oxidized fish oil based on SHS-GC-IMS

Author:
Yun-Qi Wen; Hong-Wei Zhang; Chang-Hu Xue; Xiao-Han Wang; Shi-Jie Bi; Li-Li Xu; Qian-Qian Xue; Yong Xue; Zhao-Jie Li; Joaquín Velasco; Xiao-Ming Jiang
Source:
Food chemistry 2023 v.399 pp. 133991
ISSN:
0308-8146
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.foodchem.2022.133991

10. Hemoglobin normalization outperforms other methods for standardizing dried blood spot metabolomics: A comparative study

Author:
Abhishek Jain; Montana Morris; Elizabeth Z. Lin; Sajid A. Khan; Xiaomei Ma; Nicole C. Deziel; Krystal J. Godri Pollitt; Caroline H. Johnson
Source:
Science of the total environment 2023 v.854 pp. 158716
ISSN:
0048-9697
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.scitotenv.2022.158716

11. UPLC-Q-TOF/MS-based metabolomics reveals modulatory effects of Mesona chinensis Benth polysaccharide in liver injury mice induced by cyclophosphamide

Author:
Yuzhen Hong; Mingyue Shen; Qiang Yu; Yi Chen; Jianhua Xie
Source:
Food science and human wellness 2023 v.12 no.2 pp. 584-595
ISSN:
2213-4530
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.fshw.2022.07.061

12. Recognizing strawberry appearance quality using different combinations of deep feature and classifiers

Author:
Xuchen Li; Changlong Cai; Hao Zheng; Hongfei Zhu
Source:
Journal of food process engineering 2022 v.45 no.3 pp. e13982
ISSN:
0145-8876
Subject:
discriminant analysis,   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 ...
DOI:
10.1111/jfpe.13982

13. Elaboration and validation of an instrument for qualitative assessment of food preparations offered to workers

Author:
Pietra Oselame da Silva Dohms; Lize Stangarlin-Fiori; Caroline Opolski Medeiros
Source:
International journal of gastronomy and food science 2022 v.28 pp. 100488
ISSN:
1878-450X
Subject:
discriminant analysis,   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 ...
DOI:
10.1016/j.ijgfs.2022.100488

14. Sparse linear discriminant analysis for multiview structured data

Author:
Sandra E. Safo; Eun Jeong Min; Lillian Haine
Source:
Biometrics 2022 v.78 no.2 pp. 612-623
ISSN:
0006-341X
Subject:
discriminant analysis,   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 ...
DOI:
10.1111/biom.13458

15. Utility of texture combinations computed from fused WorldView-2 imagery in discriminating commercial forest species

Author:
Bongokuhle Sibiya; Romano Lottering; John Odindi
Source:
Geocarto international 2022 v.37 no.23 pp. 6915-6931
ISSN:
1752-0762
Subject:
discriminant analysis,   etc   ; forests; models; texture;     Show all 4 Subjects
Abstract:
... 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 ...
DOI:
10.1080/10106049.2021.1952316

16. Flavor quality evaluation of Pixian Douban fermented in the closed system of multi-scale temperature and flow fields

Author:
Yan Liu; Yimao Zhang; Yujiao Shi; Manna Zhang; Yi Liu; Zhenming Che; Hongbin Lin; Guangyuan Lv; Qi Zhu; Shirong Dong; Wenwu Ding
Source:
Lebensmittel-Wissenschaft + Technologie 2022 v.163 pp. 113598
ISSN:
0023-6438
Subject:
discriminant analysis,   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, ...
DOI:
10.1016/j.lwt.2022.113598

17. Objective discrimination of fur type based on electrophoresis optimized for fur‐hair proteins

Author:
Yuri Sekimoto; Arisa Tokai; Muneshige Aritaki; Takeshi Ando; Takeshi Masuda
Source:
Electrophoresis 2022 v.43 no.11 pp. 1233-1241
ISSN:
0173-0835
Subject:
discriminant analysis,   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 ...
DOI:
10.1002/elps.202200002

18. Coat color of western long-eared bats (myotis evotis) living in different environments: a test of gloger's rule

Author:
Donald I Solick; Robert MR Barclay
Source:
Northwestern naturalist 2022 v.103 no.2 pp. 183-189
ISSN:
1051-1733
Subject:
discriminant analysis,   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 ...
DOI:
10.1898/NWN21-14

19. Detection of Unripe Kernels and Foreign Materials in Chickpea Mixtures Using Image Processing

Author:
Somayeh Salam; Kamran Kheiralipour; Fuji Jian
Source:
Agriculture (Basel) 2022 v.12 no.7 pp. -
ISSN:
2077-0472
Subject:
discriminant analysis,   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 ...
DOI:
10.3390/agriculture12070995

20. Evaluation of re-sampling methods on performance of machine learning models to predict landslide susceptibility

Author:
Moslem Borji Hassangavyar; Hadi Eskandari Damaneh; Quoc Bao Pham; Nguyen Thi Thuy Linh; John Tiefenbacher; Quang-Vu Bach
Source:
Geocarto international 2022 v.37 no.10 pp. 2772-2794
ISSN:
1752-0762
Subject:
discriminant analysis,   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 ...
DOI:
10.1080/10106049.2020.1837257