A study on deep learning methods in the concept of industry 4.0

dc.contributor.authorŞimşek, Mehmet Ali
dc.contributor.authorOrman, Zeynep
dc.date.accessioned2024-10-29T17:43:39Z
dc.date.available2024-10-29T17:43:39Z
dc.date.issued2023
dc.departmentTekirdağ Namık Kemal Üniversitesi
dc.description.abstractNowadays, the main features of Industry 4.0 are interpreted to the ability of machines to communicate with each other and with a system, increasing the production efficiency, and development of the decisionmaking mechanisms of robots. In these cases, new analytical algorithms of Industry 4.0 are needed. By using deep learning technologies, various industrial challenging problems in Industry 4.0 can be solved. Deep learning provides algorithms that can give better results on datasets owing to hidden layers. In this chapter, deep learning methods used in Industry 4.0 are examined and explained. In addition, data sets, metrics, methods, and tools used in the previous studies are explained. This study can lead to artificial intelligence studies with high potential to accelerate the implementation of Industry 4.0. Therefore, the authors believe that it will be a handbook and very useful for researchers who want to do research on this topic. © 2023, IGI Global.
dc.identifier.doi10.4018/978-1-7998-7852-0.ch007
dc.identifier.endpage277
dc.identifier.isbn978-179987854-4
dc.identifier.isbn978-179987852-0
dc.identifier.scopus2-s2.0-85162688267
dc.identifier.startpage256
dc.identifier.urihttps://doi.org/10.4018/978-1-7998-7852-0.ch007
dc.identifier.urihttps://hdl.handle.net/20.500.11776/12540
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherIGI Global
dc.relation.ispartofApplied AI and Multimedia Technologies for Smart Manufacturing and CPS Applications
dc.relation.publicationcategoryKitap Bölümü - Uluslararasıen_US
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.titleA study on deep learning methods in the concept of industry 4.0
dc.typeBook Chapter

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