Pattern Recognition and Deep Learning Technologies, Enablers of Industry 4.0, and Their Role in Engineering Research

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dc.contributor.authorSerey, Joel
dc.contributor.authorAlfaro, Miguel
dc.contributor.authorFuertes, Guillermo
dc.contributor.authorVargas, Manuel
dc.contributor.authorDurán, Claudia
dc.contributor.authorTernero, Rodrigo
dc.contributor.authorRivera, Ricardo
dc.contributor.authorSabattin, Jorge
dc.date.accessioned2024-09-13T21:54:11Z
dc.date.available2024-09-13T21:54:11Z
dc.date.issued2023-02
dc.descriptionIndexación: Scopus
dc.description.abstractThe purpose of this study is to summarize the pattern recognition (PR) and deep learning (DL) artificial intelligence methods developed for the management of data in the last six years. The methodology used for the study of documents is a content analysis. For this study, 186 references are considered, from which 120 are selected for the literature review. First, a general introduction to artificial intelligence is presented, in which PR/DL methods are studied and their relevance to data management evaluated. Next, a literature review is provided of the most recent applications of PR/DL, and the capacity of these methods to process large volumes of data is evaluated. The analysis of the literature also reveals the main applications, challenges, approaches, advantages, and disadvantages of using these methods. Moreover, we discuss the main measurement instruments; the methodological contributions by study areas and research domain; and major databases, journals, and countries that contribute to the field of study. Finally, we identify emerging research trends, their limitations, and possible future research paths. © 2023 by the authors.
dc.description.urihttps://www.mdpi.com/2073-8994/15/2/535
dc.identifier.citationSymmetry. Volume 15, Issue 2. February 2023. Article number 535
dc.identifier.doi10.3390/sym15020535
dc.identifier.issn2073-8994
dc.identifier.urihttps://repositorio.unab.cl/handle/ria/60167
dc.language.isoen
dc.publisherMDPI
dc.rights.licenseCC BY 4.0 Attribution 4.0 International Deed
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectArtificial Intelligence
dc.subjectData Management
dc.subjectDeep Learning
dc.subjectPattern Recognition
dc.titlePattern Recognition and Deep Learning Technologies, Enablers of Industry 4.0, and Their Role in Engineering Research
dc.typeArtículo
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