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dc.contributor.authorOgosi Auqui, José Antonio
dc.contributor.authorAguirre Rodríguez, Cesar Edinson
dc.contributor.authorArenas Ñiquin, José Luis
dc.contributor.authorGuadalupe Mori, Víctor Hugo
dc.contributor.authorVera Cuya, Ronald Martin
dc.contributor.authorPérez Rojas, Even Deyser
dc.date.accessioned2023-10-05T20:03:31Z
dc.date.available2023-10-05T20:03:31Z
dc.date.issued2023-07
dc.identifier.urihttps://hdl.handle.net/20.500.14308/4938
dc.description.abstractThe world is facing unprecedented challenges due to the COVID-19 pandemic, this situation has slowed development progress in many countries. The pandemic has had a very strong impact on human capital: many lives, education, basic well-being, and future productivity were taken. Many countries have become increasingly concerned with the pandemic, which necessitates research in new information technologies. This includes artificial intelligence research. One new idea we present in this paper helps to fight the epidemic. Very little research has been conducted on mask detection. This is because masks provide protection against COVID-19, and people with masks struggle to function normally without protection. However, recent advances in CNNs have made it possible to extract deep features from faces.es_PE
dc.formatapplication/pdfes_PE
dc.language.isoenges_PE
dc.publisherLatin American and Caribbean Consortium of Engineering Institutionses_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.subjectInteligencia artificiales_PE
dc.subjectCOVID-19es_PE
dc.subjectAprendizaje profundoes_PE
dc.subjectDetección de rostroses_PE
dc.subjectProtección faciales_PE
dc.titleAnalysis of the impact of the use of Artificial Intelligence as a service for the detection of unprotected facial passers-by.es_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#2.02.04es_PE
dc.publisher.countryARes_PE


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