Multivariate analysis & Finding the Origin of olive

dc.AffiliationOctober University for modern sciences and Arts (MSA)  
dc.contributor.authorKhalifa, Khalifa Sebak
dc.date.accessioned2019-11-26T08:20:26Z
dc.date.available2019-11-26T08:20:26Z
dc.date.issued2018
dc.description.abstractSpectroscopy and the information obtained from the level of energy, allows researchers to extract analytical information about certain matter and the relation between them Multivariate Regression Analysis is a technique that uses more than one variable and estimates one single regression model along with these variables, there are more than one predictor variable which used to predict other variables in the regression model, it can be used if there are 3 more dependent variables to examined against independent variables or just one variable. We used in order to understand how the variables are influenced by other factors and to what extent they are related to each other, As an application for this great technology in this project detecting olive origin would be great example for how to use these technologies, classification by Principle component analysis (PCA), and partial least square regression (PLSR) are used along with this application.en_US
dc.description.sponsorshipDr. Ahmed Farouken_US
dc.identifier.citationCopyright © 2019 MSA University. All Rights Reserved.en_US
dc.identifier.urihttps://t.ly/K80Pr
dc.language.isoenen_US
dc.publisherOctober university for modern sciences and artsen_US
dc.relation.ispartofseriesCOMPUTER SCIENCES DISTINGUISHED PROJECTS 2018.;
dc.subjectOctober university for modern sciences and artsen_US
dc.subjectuniversity of modern sciences and artsen_US
dc.subjectجامعة اكتوبر للعلوم الحديثة و الادابen_US
dc.subjectMSA universityen_US
dc.titleMultivariate analysis & Finding the Origin of oliveen_US
dc.typeOtheren_US

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