U.S. flag

An official website of the United States government

PubAg

Main content area

You searched for: Subject "discriminant analysis" Remove constraint Subject: "discriminant analysis"
Start Over

Search

6,554  Search Results

« Previous | 1 - 20 of 6,554 |
Number of results to display per page

Search Results

1. The Use of Artificial Neural Networks and a General Discriminant Analysis for Predicting Culling Reasons in Holstein-Friesian Cows Based on First-Lactation Performance Records

Author:
Adamczyk, Krzysztof; Grzesiak, Wilhelm; Zaborski, Daniel
Source:
Animals 2021 v.11 no.3
ISSN:
2076-2615
Subject:
discriminant analysis,   etc   ; Holstein; lactation curve; Poland;     Show all 4 Subjects
Abstract:
... The aim of the present study was to verify whether artificial neural networks (ANN) may be an effective tool for predicting the culling reasons in cows based on routinely collected first-lactation records. Data on Holstein-Friesian cows culled in Poland between 2017 and 2018 were used in the present study. A general discriminant analysis (GDA) was applied as a reference method for ANN. Considering ...
DOI:
10.3390/ani11030721

2. Does country matter in urban organic food products consumption?

Author:
Marreiros, Cristina Galamba; Dionísio, Andreia; Lucas, Maria Raquel
Source:
International journal of consumer studies 2021 v.45 no.1 pp. 1-13
ISSN:
1470-6423
Subject:
discriminant analysis,   etc   ; markets; organic foods; questionnaires; surveys;     Show all 5 Subjects
Abstract:
... The main goal of this paper is to evaluate the possibility of finding international consumer segments in the organic food product (OFP) market. For that purpose, the power of country of residence in discriminating between urban frequent, occasional and non‐consumers of OFP was evaluated; and the most appropriate international segmentation bases for that market were studied. In order to achieve thi ...
DOI:
10.1111/ijcs.12599

3. Authentication of Douro DO monovarietal red wines based on anthocyanin profile: Comparison of partial least squares – discriminant analysis, decision trees and artificial neural networks

Author:
Cosme, Fernanda; Milheiro, Juliana; Pires, Joana; Guerra-Gomes, Fernanda Isabel; Filipe-Ribeiro, Luís; Nunes, Fernando M.
Source:
Food control 2021 v.125 pp. 107979
ISSN:
0956-7135
Subject:
discriminant analysis,   etc   ; accuracy; classification; food safety; multivariate analysis; myrtillin;     Show all 6 Subjects
Abstract:
... In this study, the feasibility of discriminating monovarietal red wines from Touriga Nacional (TN), Touriga Franca (TF), and Tinta Roriz (TR) from Douro Demarcated Region (DDR) using the anthocyanin profile was investigated in combination with partial least squares – discrimination analysis (PLS-DA), classification and regression trees (CART) and artificial neural networks (ANN). CART and ANN were ...
DOI:
10.1016/j.foodcont.2021.107979

4. Age estimation from the biometric information of hand bones: Development of new formulas

Author:
Remy, Floriane; Saliba-Serre, Bérengère; Chaumoitre, Kathia; Martrille, Laurent; Lalys, Loïc
Source:
Forensic science international 2021 v.322 pp. 110777
ISSN:
0379-0738
Subject:
discriminant analysis,   etc   ; age determination; biometry; forensic sciences; metacarpus;     Show all 5 Subjects
Abstract:
... In the judicial context of the age estimation of living individuals, a new method was recently proposed, based on the collection of biometric information on hand bones radiographs. The aim of this study was to apply this method to a large French sample to provide new tools for age estimationThe study sample consisted of metacarpals and proximal phalanges measurements of 1003 individuals aged less ...
DOI:
10.1016/j.forsciint.2021.110777

5. Mid-infrared spectra feature extraction and visualization by convolutional neural network for sugar adulteration identification of honey and real-world application

Author:
Li, Qianqian; Zeng, Jingqi; Lin, Ling; Zhang, Jing; Zhu, Jinyuan; Yao, Lu; Wang, Shuying; Du, Jing; Wu, Zhisheng
Source:
Lebensmittel-Wissenschaft + [i.e. und] Technologie 2021 v.140 pp. 110856
ISSN:
0023-6438
Subject:
discriminant analysis,   etc   ; adulterated products; honey; neural networks; spectroscopy; sugars;     Show all 6 Subjects
Abstract:
... In this study, convolutional neural networks (CNN) strategy combined with mid-infrared (MIR) spectra is applied for sugar adulteration identification in honey. In order to acquire the variations from different classes as well as obtain a better interpretation of the model, a visualization of the CNN algorithm is employed for honey adulteration determination. All kernels are co-acted to explore sub ...
DOI:
10.1016/j.lwt.2021.110856

6. Comparative analysis of 3D printability and rheological properties of surimi gels via LF-NMR and dielectric characteristics

Author:
Chen, Hui-zhi; Zhang, Min; Yang, Chao-hui
Source:
Journal of food engineering 2021 v.292 pp. 110278
ISSN:
0260-8774
Subject:
discriminant analysis,   etc   ; cluster analysis; extrusion; nuclear magnetic resonance spectroscopy; surimi;     Show all 5 Subjects
Abstract:
... The rheological properties of raw materials as 3D printing inks play a vital role in their printability and quality. This work was aimed to evaluate the potential of low field nuclear magnetic resonance (LF-NMR) and dielectric characteristics (at 915 and 2450 MHz) to predict the rheological properties and estimate the printability of surimi gels at different NaCl and water concentrations. Hierarch ...
DOI:
10.1016/j.jfoodeng.2020.110278

7. High throughput screening to determine the antibacterial activity of Terminalia ferdinandiana (Kakadu plum): A proof of concept

Author:
Akter, Saleha; Sultanbawa, Yasmina; Cozzolino, Daniel
Source:
Journal of microbiological methods 2021 v.182 pp. 106169
ISSN:
0167-7012
Subject:
discriminant analysis,   etc   ; Terminalia latipes subsp. psilocarpa; agar; antibacterial properties; plums;     Show all 5 Subjects
Abstract:
... Different types of susceptibility tests are available to identify antimicrobial activity, including the disc agar diffusion and broth micro-dilution methods. In recent years, high throughput screening (HTS) methods have been considered and evaluated as an efficient method to rapidly monitor the antimicrobial potential of a wide range of plant products. The objective of this study was to test the a ...
DOI:
10.1016/j.mimet.2021.106169

8. Analysis of the Sustainability of Fattening Systems for Iberian Traditional Pig Production through a Technical and Environmental Approach

Author:
García-Gudiño, Javier; Blanco-Penedo, Isabel; Font-i-Furnols, Maria; Angón, Elena; Perea, José Manuel
Source:
Animals 2021 v.11 no.2
ISSN:
2076-2615
Subject:
discriminant analysis,   etc   ; models; multivariate analysis; pastures; swine production;     Show all 5 Subjects
Abstract:
... At present, two types of fattening are carried out in Iberian traditional pig production. The montanera is the fattening system where fatteners are fed on acorns and pasture in the dehesa, and cebo de campo is the fattening where the pigs are fed on compound feed and natural resources, mainly pasture. The aim of this paper is to analyze Iberian fattening production from an economic and environment ...
DOI:
10.3390/ani11020411

9. A new color index for vegetation segmentation and classification

Author:
Lee, Moon-Kyu; Golzarian, Mahmood Reza; Kim, Inki
Source:
Precision agriculture 2021 v.22 no.1 pp. 179-204
ISSN:
1385-2256
Subject:
discriminant analysis,   etc   ; color; lighting; precision agriculture; vegetation; vegetation index;     Show all 6 Subjects
Abstract:
... Color vegetation indices enable various precision agriculture applications by transforming a 3D-color image into its 1D-grayscale counterpart, such that the color of vegetation pixels can be accentuated, while those of nonvegetation pixels are attenuated. The quality of the transformation is essential to the outcomes of computational analyses to follow. The objective of this article is to propose ...
DOI:
10.1007/s11119-020-09735-1

10. Combination of visible reflectance and acoustic response to improve non‐destructive assessment of maturity and indirect prediction of internal quality of red‐fleshed pomelo

Author:
Phuangsombut, Kaewkarn; Phuangsombut, Arthit; Terdwongworakul, Anupun
Source:
International journal of food science & technology 2021 v.56 no.2 pp. 936-944
ISSN:
0950-5423
Subject:
discriminant analysis,   etc   ; acoustics; food science; fruits; models; prediction; pummelos; reflectance;     Show all 8 Subjects
Abstract:
... Maturity and the internal quality of red‐fleshed pomelo in terms of the sugar–acid ratio were studied by assessing whole fruit properties using acoustic response and local properties based on the visible reflectance of the fruit surface. Pomelo fruit samples were harvested at different maturity stages. Maturity classification and prediction models were built using discriminant analysis and partial ...
DOI:
10.1111/ijfs.14746

11. Sensible Functional Linear Discriminant Analysis Effectively Discriminates Enhanced Raman Spectra of Mycobacterium Species

Author:
Cheng, Wei-Chih; Chen, Lu-Hung; Jiang, Ci-Ren; Deng, Yu-Ming; Wang, Da-Wei; Lin, Chi-Hung; Jou, Ruwen; Wang, Juen-Kai; Wang, Yuh-Lin
Source:
Analytical chemistry 2021 v.93 no.5 pp. 2785-2792
ISSN:
1520-6882
Subject:
discriminant analysis,   etc   ; analytical chemistry; principal component analysis; tuberculosis;     Show all 4 Subjects
Abstract:
... Tuberculosis caused by Mycobacterium tuberculosis complex (MTBC) is one of the major infectious diseases in the world. Identification of MTBC and differential diagnosis of nontuberculous mycobacteria (NTM) species impose challenges because of their taxonomic similarity. This study describes a differential diagnosis method using the surface-enhanced Raman scattering (SERS) measurement of molecules ...
DOI:
10.1021/acs.analchem.0c03681

12. Testing the utility of multivariate techniques in mapping commercial forest species using freely available Landsat 8 Operational Land Imager (OLI)

Author:
Mngadi, Mthembeni; Odindi, John; Peerbhay, Kabir; Mutanga, Onisimo; Sibanda, Mbulisi
Source:
Journal of forest research 2020 v.25 no.5 pp. 354-357
ISSN:
1610-7403
Subject:
discriminant analysis,   etc   ; Landsat; forests; research;     Show all 4 Subjects
Abstract:
... Reliable species discrimination remains essential for the management of commercial forests. Therefore, this study sought to evaluate the utility of Partial Least Squares Linear Discriminant Analysis (PLS-LDA) and Partial Least Squares-Discriminant Analysis (PLS-DA) multivariate techniques for delineating forest species using Landsat 8 OLI. PLS-LDA produced a higher (88.9%) overall accuracy compare ...
DOI:
10.1080/13416979.2020.1764167

13. Reexamination of Rhopalosiphum (Hemiptera: Aphididae) using linear discriminant analysis to determine the validity of synonymized species, with some new synonymies and distribution data

Author:
Skvarla, Michael; Kramer, Matthew; Owen, Christopher L.; Miller, Gary L
Source:
Biodiversity data journal 2020 v.8 pp. e49102
ISSN:
1314-2828
Subject:
discriminant analysis,   etc   ; Rhopalosiphum; biodiversity; validity;     Show all 4 Subjects
Abstract:
... Although 17 species of Rhopalosiphum (Hemiptera: Aphididae) are currently recognized, 85 taxonomic names have been proposed historically. Some species are morphologically similar, especially alate individuals and most synonymies were proposed in catalogues without evidence. This has led to both confusion and difficulty in making accurate species-level identifications. In an attempt to address thes ...
Handle:
10113/6862069
DOI:
10.3897/BDJ.8.e49102
PubMed:
32042252
PubMed Central:
PMC6997245

14. Quantitative imagery analysis of spot patterns for the three-haplogroup classification of Triatoma dimidiata (Latreille, 1811) (Hemiptera: Reduviidae), an important vector of Chagas disease

Author:
Cruz, Daryl D.; Denis, Dennis; Arellano, Elizabeth; Ibarra-Cerdeña, Carlos N.
Source:
Parasites & vectors 2021 v.14 no.1 pp. 90
ISSN:
1756-3305
Subject:
discriminant analysis,   etc   ; Chagas disease; Triatoma dimidiata; cryptic species; descriptive statistics; image analysis; phylogeny; Central America; Mexico;     Show all 9 Subjects
Abstract:
... BACKGROUND: Spots and coloring patterns evaluated quantitatively can be used to discriminate and identify possible cryptic species. Species included in the Triatoma dimidiata (Reduviidae: Triatominae) complex are major disease vectors of Chagas disease. Phylogenetic studies have defined three haplogroups for Mexico and part of Central America. We report here our evaluation of the possibility of co ...
DOI:
10.1186/s13071-021-04598-5

15. Multi-element signature of cuttlefish and its potential for the discrimination of different geographical provenances and traceability

Author:
Varrà, Maria Olga; Husáková, Lenka; Patočka, Jan; Ghidini, Sergio; Zanardi, Emanuela
Source:
Food chemistry 2021 v.356 pp. 129687
ISSN:
0308-8146
Subject:
discriminant analysis,   etc   ; Sepiidae; accuracy; atomic absorption spectrometry; chemometrics; food chemistry; measurement; mercury; principal component analysis; traceability;     Show all 10 Subjects
Abstract:
... The measurement and analysis of fifty-two elements by quadrupole inductively coupled plasma mass spectrometry (Q-ICP-MS) and direct mercury analysis were applied to origin discrimination of Italian traditional cuttlefish (Chioggia, Venice lagoon) from Mediterranean and Atlantic samples. A total 68 specimens were analyzed in triplicates to generate 204 mass spectra profiles which were statistically ...
DOI:
10.1016/j.foodchem.2021.129687

16. Portable electronic tongue based on screen-printed electrodes coupled with chemometrics for rapid differentiation of Brazilian lager beer

Author:
Mutz, Yhan S.; Rosario, Denes do; Silva, Luiz R.G.; Santos, Francine D.; Santos, Layla P.; Janegitz, Bruno C.; Filgueiras, Paulo R.; Romão, Wanderson; de Q Ferreira, Rafael; Conte-Junior, Carlos A.
Source:
Food control 2021 v.127 pp. 108163
ISSN:
0956-7135
Subject:
discriminant analysis,   etc   ; beers; carbon; carbon nanotubes; chemometrics; classification; data collection; electronic tongue; food safety; gold; precision;     Show all 11 Subjects
Abstract:
... Quality and authenticity monitoring are activities of growing necessity worldwide. However, methods of rapid evaluation and low cost need to be further explored to intensify and optimize the monitoring process. Hence, the present study proposes a procedure for discrimination of lager beers (premium and standard American lager beers) using commercially available screen-printed electrodes (SPEs) (ca ...
DOI:
10.1016/j.foodcont.2021.108163

17. Development of a portable oil type classifier using laser-induced fluorescence spectrometer coupled with chemometrics

Author:
Loh, Andrew; Ha, Sung Yong; Kim, Donghwi; Lee, Joonseok; Baek, Kyonghoon; Yim, Un Hyuk
Source:
Journal of hazardous materials 2021 v.416 pp. 125723
ISSN:
0304-3894
Subject:
discriminant analysis,   etc   ; chemometrics; fluorescence; least squares; oil spills; oils; pollution; prediction; spectrometers;     Show all 9 Subjects
Abstract:
... Due to the recurrent small spills, oil pollution along coastal regions is still a major environmental issue. Standardized oil fingerprinting techniques are useful for oil spill identifications, but time- and resource-consuming. There have been ongoing needs for simple yet rapid approach for field screening of oil spill. Laser induced fluorescence (LIF) technology can be incorporated into a spectro ...
DOI:
10.1016/j.jhazmat.2021.125723

18. Geographical origin discriminant analysis of Chia seeds (Salvia hispanica L.) using hyperspectral imaging

Author:
Choi, Ji-Young; Kim, Hee-Chul; Moon, Kwang-Deog
Source:
Journal of food composition and analysis 2021 v.101 pp. 103916
ISSN:
0889-1575
Subject:
discriminant analysis,   etc   ; Salvia hispanica; fatty acid composition; food composition; lipid content; prediction; provenance; Argentina; Bolivia; Paraguay;     Show all 10 Subjects
Abstract:
... In this study, hyperspectral imaging was used to study chia seeds grown in Argentina, Paraguay, and Bolivia to determine their origin. Multiplicative scatter correction was the most effective data preprocessing method, with a discrimination prediction accuracy of 0.9111. Discriminative wavelengths obtained from beta coefficients were 912, 1270, 1405, 1611, and 1700 nm, associated OH bonds in water ...
DOI:
10.1016/j.jfca.2021.103916

19. Assessment of an aerobic granular sludge system in the presence of pharmaceutically active compounds by quantitative image analysis and chemometric techniques

Author:
Leal, Cristiano S.; Lopes, Mariana; Val del Río, Angeles; Quintelas, Cristina; Castro, Paula M.L.; Ferreira, Eugénio C.; Amaral, A. Luís; Mesquita, Daniela P.
Source:
Journal of environmental management 2021 v.289 pp. 112474
ISSN:
0301-4797
Subject:
discriminant analysis,   etc   ; batch systems; biomass; chemometrics; environmental management; image analysis; principal component analysis; sludge; sulfamethoxazole; wastewater;     Show all 10 Subjects
Abstract:
... In this study, a sequencing batch reactor (SBR) with aerobic granular sludge (AGS) was operated with synthetic wastewater containing environmental relevant concentrations of 17β-estradiol (E2), 17α-ethinylestradiol (EE2) and sulfamethoxazole (SMX). Despite the presence of the studied PhAC, the granular fraction clearly predominated (TSSgᵣₐₙ/TSS ranging from 0.82 to 0.98) throughout the monitoring ...
DOI:
10.1016/j.jenvman.2021.112474

20. Development and comparison of machine learning models for water multidimensional classification

Author:
Díaz-González, Lorena; Alejandro Uscanga-Junco, Oscar; Rosales-Rivera, Mauricio
Source:
Journal of hydrology 2021 v.598 pp. 126234
ISSN:
0022-1694
Subject:
discriminant analysis,   etc   ; cations; computer software; databases; groundwater; hybrids; models; multivariate analysis; probability; India; Nigeria;     Show all 11 Subjects
Abstract:
... We proposed four new models (WClassCB, WClassVL WClassVP WClassVR) for water classification using Categorical Boosting (CatBoost) and Support Vector Machines (SVM) with three kernels: linear, polynomial, and radial basis function. The new models were compared with the recently proposed WClassHLR (7 hybrid log-ratio) model based on linear discriminant analysis and canonical analysis techniques. A t ...
DOI:
10.1016/j.jhydrol.2021.126234