Multivariate analysis & Finding the Origin of olive
dc.Affiliation | October University for modern sciences and Arts (MSA) | |
dc.contributor.author | Khalifa, Khalifa Sebak | |
dc.date.accessioned | 2019-11-26T08:20:26Z | |
dc.date.available | 2019-11-26T08:20:26Z | |
dc.date.issued | 2018 | |
dc.description.abstract | Spectroscopy 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.sponsorship | Dr. Ahmed Farouk | en_US |
dc.identifier.citation | Copyright © 2019 MSA University. All Rights Reserved. | en_US |
dc.identifier.uri | https://t.ly/K80Pr | |
dc.language.iso | en | en_US |
dc.publisher | October university for modern sciences and arts | en_US |
dc.relation.ispartofseries | COMPUTER SCIENCES DISTINGUISHED PROJECTS 2018.; | |
dc.subject | October university for modern sciences and arts | en_US |
dc.subject | university of modern sciences and arts | en_US |
dc.subject | جامعة اكتوبر للعلوم الحديثة و الاداب | en_US |
dc.subject | MSA university | en_US |
dc.title | Multivariate analysis & Finding the Origin of olive | en_US |
dc.type | Other | en_US |