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1. Individual identification of birds with complex songs: The case of green-backed flycatchers Ficedula elisae

Author:
Chen, Gong; Xia, Canwei; Zhang, Yanyun
Source:
Behavioural processes 2020 v.173 pp. 104063
ISSN:
0376-6357
Subject:
discriminant analysis,   etc   ; Ficedula; breeding season; songbirds; vocalization;     Show all 5 Subjects
Abstract:
... Vocal individual identification has been demonstrated in many animals, with discriminant function analysis (DFA) and spectrographic cross-correlation (SPCC) being the two most frequent methods. Successful vocal individual identification requires high among-individual differences and within-individual stability over time for vocal features. Lack of vocal individual identification is common in songb ...
DOI:
10.1016/j.beproc.2020.104063

2. A modified mean-variance feature-screening procedure for ultrahigh-dimensional discriminant analysis

Author:
He, Shengmei; Ma, Shuangge; Xu, Wangli
Source:
Computational statistics & data analysis 2019 v.137 pp. 155-169
ISSN:
0167-9473
Subject:
discriminant analysis,   etc   ; models; screening;     Show all 3 Subjects
Abstract:
... Cui et al. (2015) proposed a mean–variance feature-screening method based on the index MV(X|Y). By modifying MV(X|Y) with a weight function, a new index AD(X,Y) is introduced to measure the dependence between X and Y, and a corresponding feature-screening procedure called Anderson–Darling sure independence screening (AD-SIS) is proposed for ultrahigh-dimensional discriminant analysis. The sure scr ...
DOI:
10.1016/j.csda.2019.02.003

3. Debris flows rainfall thresholds in the Apennines of Emilia-Romagna (Italy) derived by the analysis of recent severe rainstorms events and regional meteorological data

Author:
Giuseppe, Ciccarese; Ciccarese, Giuseppe; Mulas, Marco; Alberoni, Pier Paolo; Truffelli, Giovanni; Corsini, Alessandro
Source:
Geomorphology 2020 v.358 pp. 107097
ISSN:
0169-555X
Subject:
discriminant analysis,   etc   ; mass movement; meteorological data; multipliers; rain; Italy;     Show all 6 Subjects
Abstract:
... Recent severe rainstorms events in October 2014 and September 2015 triggered more than a hundred debris-flows in the western part of the Apennines of Emilia-Romagna (Italy). In this work, we tested a novel method to define debris flows rainfall thresholds for the 2014 and 2015 rainstorms (which have been used as reference events) and to extend these results across the Apennines of Emilia-Romagna, ...
DOI:
10.1016/j.geomorph.2020.107097

4. A spatially explicit deep learning neural network model for the prediction of landslide susceptibility

Author:
Dao, Dong Van; Jaafari, Abolfazl; Bayat, Mahmoud; Mafi-Gholami, Davood; Qi, Chongchong; Moayedi, Hossein; Phong, Tran Van; Ly, Hai-Bang; Le, Tien-Thinh; Trinh, Phan Trong; Luu, Chinh; Quoc, Nguyen Kim; Thanh, Bui Nhi; Pham, Binh Thai
Source:
Catena 2020 v.188 pp. 104451
ISSN:
0341-8162
Subject:
discriminant analysis,   etc   ; data collection; landslides; models; prediction; spatial data; Vietnam;     Show all 7 Subjects
Abstract:
... With the increasing threat of recurring landslides, susceptibility maps are expected to play a bigger role in promoting our understanding of future landslides and their magnitude. This study describes the development and validation of a spatially explicit deep learning (DL) neural network model for the prediction of landslide susceptibility. A geospatial database was generated based on 217 landsli ...
DOI:
10.1016/j.catena.2019.104451

5. Unsupervised double weight graphs based discriminant analysis for dimensionality reduction

Author:
Li, Baocheng; Zhang, Peng; Zhang, Jinxin; Jing, Ling
Source:
International journal of remote sensing 2020 v.41 no.6 pp. 2209-2238
ISSN:
1366-5901
Subject:
discriminant analysis,   etc   ; data collection; graphs; hyperspectral imagery; remote sensing;     Show all 5 Subjects
Abstract:
... Dimensionality reduction plays an important role in pattern recognition tasks. Locality preserving projection and neighbourhood preserving embedding are popular unsupervised feature extraction methods, which try to preserve a certain local structure in the low-dimensional subspace. However, only considering the local neighbour information will limit the methods to achieve higher recognition accura ...
DOI:
10.1080/01431161.2019.1685719

6. Comparing partial least squares (PLS) discriminant analysis and sparse PLS discriminant analysis in detecting and mapping Solanum mauritianum in commercial forest plantations using image texture

Author:
Lottering, Romano Trent; Govender, Mackyla; Peerbhay, Kabir; Lottering, Shenelle
Source:
ISPRS journal of photogrammetry and remote sensing 2020 v.159 pp. 271-280
ISSN:
0924-2716
Subject:
discriminant analysis,   etc   ; Solanum mauritianum; forest plantations; least squares; models;     Show all 5 Subjects
Abstract:
... Solanum mauritianum is a highly destructive and resourceful plant invader, resulting in severe economic and ecological damage. Detecting and mapping the spatial distribution of S. mauritianum is a priority for effective management of commercial forest plantations. Therefore, image texture computed from a 2 m WorldView-2 image with sparse partial least squares discriminant analysis (SPLS-DA) and pa ...
DOI:
10.1016/j.isprsjprs.2019.11.019

7. Information integration of force sensing and machine vision for in‐shell shrivelled walnut detection based on the golden‐section search optimal discrimination threshold

Author:
Zhai, Zhiqiang; Jin, Zuohui; Zhang, Ruoyu
Source:
Journal of the science of food and agriculture 2019 v.99 no.8 pp. 3941-3949
ISSN:
0022-5142
Subject:
discriminant analysis,   etc   ; computer vision; walnuts;     Show all 3 Subjects
Abstract:
... BACKGROUND: The shrivelled defect of walnuts has a serious effect on walnut quality and is a common internal defect of in‐shell walnuts. However, only depending on a single detection technique such as machine vision to detect in‐shell shrivelled walnuts is challenging. Meanwhile, the threshold has a great impact on the accuracy of the discrimination analysis. Therefore, the golden‐section was used ...
DOI:
10.1002/jsfa.9618

8. Geographical verification of Slovenian milk using stable isotope ratio, multi-element and multivariate modelling approaches

Author:
Potočnik, Doris; Nečemer, Marijan; Perišić, Igor; Jagodic, Marta; Mazej, Darja; Camin, Federica; Eftimov, Tome; Strojnik, Lidija; Ogrinc, Nives
Source:
Food chemistry 2020 v.326 pp. 126958
ISSN:
0308-8146
Subject:
discriminant analysis,   etc   ; bromine; cows; elemental composition; milk; models; prediction; provenance; stable isotopes; summer; variance; winter;     Show all 12 Subjects
Abstract:
... This work examines the use of stable isotopes and elemental composition for determining geographical origin and authenticity of cow milk from four geographical regions of Slovenian. Samples (277) were collected during summer and winter (2012–2014). It was possible to discriminate milk samples according to the year, season and production region using discriminant analysis (DA). The overall temporal ...
DOI:
10.1016/j.foodchem.2020.126958

9. Chemometric tools for food fraud detection: The role of target class in non-targeted analysis

Author:
Rodionova, O.Ye.; Pomerantsev, A.L.
Source:
Food chemistry 2020 v.317 pp. 126448
ISSN:
0308-8146
Subject:
discriminant analysis,   etc   ; adulterated products; chemometrics; data collection; food fraud; near-infrared spectroscopy; oregano;     Show all 7 Subjects
Abstract:
... The chemometric issues related to the application of non-targeted analysis for the detection of food frauds were analyzed employing discriminant analysis and a one-class classifier. The similarities and differences between the two methods were investigated. The results of classification are characterized by a set of indices called figures of merit. They comprehensively characterized the quality an ...
DOI:
10.1016/j.foodchem.2020.126448

10. Differentiation of bee pollen samples according to their intact-glucosinolate content using canonical discriminant analysis

Author:
Ares, Ana M.; Redondo, Montserrat; Tapia, Jesús; González-Porto, Amelia V.; Higes, Mariano; Martín-Hernández, Raquel; Bernal, José
Source:
Lebensmittel-Wissenschaft + [i.e. und] Technologie 2020 v.129 pp. 109559
ISSN:
0023-6438
Subject:
discriminant analysis,   etc   ; apiaries; bee pollen; chemometrics; glucosinolates; pollen sampling; ultra-performance liquid chromatography;     Show all 7 Subjects
Abstract:
... A study is presented of the real possibilities of glucosinolate content and chemometrics (canonical discriminant analysis) to differentiate bee pollen samples from four different apiaries (Fuentelahiguera, Monte, Pistacho, Tío Natalio) located in the same geographical area. Fifteen intact-glucosinolates were quantified by means of ultra-performance liquid chromatography coupled to a quadrupole tim ...
DOI:
10.1016/j.lwt.2020.109559

11. Committee classifier based on linear discriminant analysis for the detection of radioisotopes from airborne gamma-ray spectra

Author:
Dess, Brian W.; Small, Gary W.
Source:
Journal of environmental radioactivity 2020 v.217 pp. 106217
ISSN:
0265-931X
Subject:
discriminant analysis,   etc   ; algorithms; cesium radioisotopes; detection limit; gamma radiation; isotopes; models; radioactivity; surveys;     Show all 9 Subjects
Abstract:
... A committee classifier was developed for use in the application of real-time pattern recognition to gamma-ray spectra collected from airborne surveys. This technique was designed to enhance detection performance relative to that of a single linear discriminant analysis model. The approach was based on utilizing multiple classifiers to check one another through a signal averaging method. This resul ...
DOI:
10.1016/j.jenvrad.2020.106217

12. Fast detection and quantification of pork meat in other meats by reflectance FT-NIR spectroscopy and multivariate analysis

Author:
Mabood, Fazal; Boqué, Ricard; Alkindi, Abdulazi.Y.; Al-Harrasi, Ahmed; Al Amri, Iss.S.; Boukra, Salah; Jabeen, Farah; Hussain, Javid; Abbas, Ghulam; Naureen, Zakira; Haq, Quazi M.I.; Shah, Hakikull.H.; Khan, Ajmal; Khalaf, Samer.K.; Kadim, Isam
Source:
Meat science 2020 v.163 pp. 108084
ISSN:
0309-1740
Subject:
discriminant analysis,   etc   ; least squares; near-infrared spectroscopy; pork; prediction; principal component analysis; reflectance spectroscopy; spectrophotometers;     Show all 8 Subjects
Abstract:
... This study aimed to develop a fast analytical method, combining near infrared reflectance spectroscopy and multivariate analysis, for detection and quantification of pork meat in other meat samples. A total of 5952 mixture samples from 39 types of meat were prepared in triplicate, with the inclusion of pork at 0%, 1%, 5%, 10%, 30%, 50%, 70%, 90% and 100%. Each sample was scanned using an FT-NIR sp ...
DOI:
10.1016/j.meatsci.2020.108084

13. Feasibility analysis of NIR for detecting sweet corn seeds vigor

Author:
Wang, Yali; Peng, Yankun; Zhuang, Qibin; Zhao, Xinlong
Source:
Journal of cereal science 2020 v.93 pp. 102977
ISSN:
0733-5210
Subject:
discriminant analysis,   etc   ; Zea mays; accelerated aging; least squares; near-infrared spectroscopy; seeds; spectral analysis; sweetcorn; vigor;     Show all 9 Subjects
Abstract:
... This paper explores the feasibility of particle-based detection and grading of seed vigor based on a self-built seed single-granulation device using near infrared spectroscopy (NIRS). Sweet corn with uniform kernel size was used for this study. The seed samples were divided into three types, they were normal seeds, artificially aged seeds and heat-damaged seeds. A 2-part spectral acquisition of ea ...
DOI:
10.1016/j.jcs.2020.102977

14. Acoustic differentiation in a sub-oscine calls: females call with more entropy than males

Author:
Ríos-Chelén, Alejandro Ariel; Díaz-Lezama, Xhareni; Montoya, Bibiana
Source:
Journal of ornithology 2020 v.161 no.2 pp. 429-437
ISSN:
2193-7192
Subject:
discriminant analysis,   etc   ; acoustics; breeding season; dimorphism; entropy; females; males; principal component analysis; regression analysis;     Show all 9 Subjects
Abstract:
... We quantified variation at the individual, pair and sex levels in acoustic attributes of Vermilion Flycatcher (Pyrocephalus rubinus)’s peent calls. We recorded calls of 15 pairs during the breeding season, and analyzed seven acoustic measures encompassing temporal, frequency and entropy measures. We run Principal Component Analysis to reduce the number of acoustic parameters; the first three princ ...
DOI:
10.1007/s10336-019-01740-0

15. Acrylamide in industrial potato crisp manufacturing: A potential tool for its reduction

Author:
Ledbetter, Moira; Bartlett, Leanne; Fiore, Alberto; Montague, Gary; Sturrock, Keith; McNamara, Ged
Source:
Lebensmittel-Wissenschaft + [i.e. und] Technologie 2020 v.123 pp. 109111
ISSN:
0023-6438
Subject:
discriminant analysis,   etc   ; acrylamides; asparagine; data visualization; fructose; least squares; mechanistic models; potatoes; prediction; probability; processing technology;     Show all 11 Subjects
Abstract:
... This paper considers the potential for identifying industrial manufacturing conditions that will lead to high acrylamide formation in potato crisp manufacture. Considering the available historical industrial processing data, initial tests were undertaken to identify the degree of variability and confidence in the data. Following data visualisation which indicated data ‘fingerprints’ characteristic ...
DOI:
10.1016/j.lwt.2020.109111

16. Breaking the binary: The identification of trans-women in forensic anthropology

Author:
Schall, Jenna L.; Rogers, Tracy L.; Deschamps-Braly, Jordan C.
Source:
Forensic science international 2020 v.309 pp. 110220
ISSN:
0379-0738
Subject:
discriminant analysis,   etc   ; anthropology; females; feminization; forensic sciences; guidelines; social identification; surgery;     Show all 8 Subjects
Abstract:
... In the cases of transgender and gender non-conforming people, a description of their physical remains, including biological sex, may have little correlation with their social identity, delaying and often confusing the issue of identification. Some transgender individuals have sought to alter their physical appearance in order to better reflect their gender. One group of surgical modifications for ...
DOI:
10.1016/j.forsciint.2020.110220

17. Fully convolutional networks for blueberry bruising and calyx segmentation using hyperspectral transmittance imaging

Author:
Zhang, Mengyun; Jiang, Yu; Li, Changying; Yang, Fuzeng
Source:
Biosystems engineering 2020 v.192 pp. 159-175
ISSN:
1537-5110
Subject:
discriminant analysis,   etc   ; blueberries; calyx; fruits; hyperspectral imagery; image analysis; industry; learning; mechanical damage; models; transmittance;     Show all 11 Subjects
Abstract:
... Early detection of internal bruises in blueberries is a significant challenge for the blueberry industry. The main goal of this study was to detect blueberries’ internal bruising accurately, after mechanical damage from hyperspectral transmittance images (HSTIs), using the deep learning-based method of fully convolutional networks (FCNs) for segmentation tasks. To improve detection accuracy, a tot ...
DOI:
10.1016/j.biosystemseng.2020.01.018

18. Lipidomics analysis for identifying the geographical origin and lactation stage of goat milk

Author:
Liu, Hongyan; Guo, Xiaoqing; Zhao, Qingyu; Qin, Yuchang; Zhang, Junmin
Source:
Food chemistry 2020 v.309 pp. 125765
ISSN:
0308-8146
Subject:
discriminant analysis,   etc   ; colostrum; farms; goat milk; lactation stage; least squares; lipids; mass spectrometry; milk; provenance;     Show all 10 Subjects
Abstract:
... Goat milk samples of three lactation stages (colostrum, mature and late milk) were collected from three farms and analyzed with an untargeted method based on UPLC-Q-Exactive Orbitrap Mass Spectrometry and multivariate statistics. A total of 14 lipid subclasses and 756 lipid molecules were identified in samples. Five lipid subclasses and 51 lipid molecules in milk were significantly different among ...
DOI:
10.1016/j.foodchem.2019.125765

19. Multiblock chemometrics for the discrimination of three extra virgin olive oil varieties

Author:
Maléchaux, Astrid; Laroussi-Mezghani, Sonda; Le Dréau, Yveline; Artaud, Jacques; Dupuy, Nathalie
Source:
Food chemistry 2020 v.309 pp. 125588
ISSN:
0308-8146
Subject:
discriminant analysis,   etc   ; chemometrics; extra-virgin olive oil; gas chromatography; least squares; prediction;     Show all 6 Subjects
Abstract:
... To discriminate samples from three varieties of Tunisian extra virgin olive oils, weighted and non-weighted multiblock partial least squares – discriminant analysis (MB-PLS1-DA) models were compared to PLS1-DA models using data obtained by gas chromatography (GC), or global composition through mid-infrared spectra (MIR). Models performances were determined using percentages of sensitivity, specifi ...
DOI:
10.1016/j.foodchem.2019.125588

20. Fault Detection Based on a Manifold Learning Bilinear Regression Method

Author:
Feng, Lin; Liu, Zhiyuan; Zhang, Yingwei
Source:
Industrial & engineering chemistry process design and development 2020 v.59 no.13 pp. 6329-6335
ISSN:
1520-5045
Subject:
discriminant analysis,   etc   ; chemistry; learning; magnesium oxide; models; probability; process design; process monitoring; regression analysis;     Show all 9 Subjects
Abstract:
... The fused magnesia smelting process is a very complex industrial process, and the fault probability is quite high. Current process monitoring and fault detection methods have difficulty accurately capturing the small fault signals in the smelting process, resulting in serious irreversible consequences. Under the background of big data, the performance of the fused magnesia smelting process fault d ...
DOI:
10.1021/acs.iecr.9b06904