dc.creatorLuna Rosas, Francisco Javier
dc.creatorMartínez Romo, Julio Cesar
dc.creatorMendoza González, Ricardo
dc.creatorLuna García, Huizilopoztli
dc.creatorRodríguez Martínez, Laura C.
dc.creatorHernández Vargas, Marco Antonio
dc.date.accessioned2020-04-20T18:15:15Z
dc.date.accessioned2022-10-14T15:15:58Z
dc.date.available2020-04-20T18:15:15Z
dc.date.available2022-10-14T15:15:58Z
dc.date.created2020-04-20T18:15:15Z
dc.date.issued2019-03-01
dc.identifier0012-7361
dc.identifierhttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1770
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4248380
dc.description.abstractParallel computing is a technique in which many instructions are executed simultaneously, operating on the principle that large problems can often be divided into smaller ones and then solved simultaneously (in parallel) in order to make the processing of applications more efficient.
dc.languageeng
dc.publisherAssociations of Industrial Engineers
dc.relationgeneralPublic
dc.relationhttps://www.revistadyna.com/search/a-rapid-diagnosis-of-breast-cancer-based-on-raman-spectroscopy
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América
dc.sourceDYNA Ingeniería e Industria, Vol. 94, Marzo 2019, pp. 124
dc.titleA rapid diagnosis of breast cancer bases on rama spectroscopy
dc.typeArtículos de revistas


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