<manifestation xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:tucdl="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/" xmlns="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/" keyIdentifier="http://purl.tuc.gr/dl/dias/E33A2CFD-23B7-4E2E-934E-2C0788C9E7E8" xsi:schemaLocation="http://purl.tuc.gr/dl/dias/schemas/aip/tucdl/ http://purl.tuc.gr/dl/dias/schemas/aip/tucdl"><titleOfTheManifestation>Barpagiannis_Christos_Dip_2019.pdf</titleOfTheManifestation><isEmbodimentOf entityType="Expression"><uri>http://purl.tuc.gr/dl/dias/7B4404BC-1DBE-42E3-B8F4-0958C66A2116</uri><title xml:lang="en">Selective extraction and identification of malicious traces in imaging data of endoscopic capsule, by using machine learning</title></isEmbodimentOf><accessRestrictionOnTheManifestation>embargo</accessRestrictionOnTheManifestation><dateOfPublicationDistribution>2019-12-19</dateOfPublicationDistribution><formOfCarrier>application/pdf</formOfCarrier><extentOfTheCarrier xml:lang="en">3.9 MB</extentOfTheCarrier></manifestation>