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Please use this identifier to cite or link to this item: http://localhost:8080/xmlui/handle/123456789/10108
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dc.contributor.authorTOUAMI, CHOUAIB-
dc.contributor.authorYACEF RAYANE, ARSSLANE-
dc.date.accessioned2021-02-23T10:21:49Z-
dc.date.available2021-02-23T10:21:49Z-
dc.date.issued2020-
dc.identifier.urihttp://di.univ-blida.dz:8080/jspui/handle/123456789/10108-
dc.description4.621.1.798 ; 76 p ; illustréfr_FR
dc.description.abstractThis project lays within the field of medical technologies , therefore , our work consists in finding the best features to extract from a certain biological signals . and we will use those features with a classifier based on an artificial neural network to classify those signals . the results will be used in another algorithm to determine the recognition rate .fr_FR
dc.language.isoenfr_FR
dc.subjectCardiovascular system, Arterial pressure , Neural network , Classificationfr_FR
dc.titleMedical diagnosis System Development with The Help of Shape Recognitionfr_FR
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