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International Journal of Computer Integrated Manufacturing Volume 37, 2024 - Issue 4: Artificial Intelligence in Advanced Manufacturing
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Research Article

Smart seru production system for Industry 4.0: a conceptual model based on deep learning for real-time monitoring and controlling

Orhan Torkula Industrial Engineering Department, Sakarya University, Serdivan, TurkeyORCID Iconhttps://orcid.org/0000-0003-2690-7228
ORCID Icon,
İhsan Hakan Selvib Information Systems Engineering Department, Sakarya University, Serdivan, TurkeyORCID Iconhttps://orcid.org/0000-0002-8837-2137
ORCID Icon &
Merve Şişcia Industrial Engineering Department, Sakarya University, Serdivan, Turkey;c Industrial Engineering Department, Kütahya Dumlupınar University, Kütahya, TurkeyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-7449-3571
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Pages 385-407 | Received 23 Oct 2021, Accepted 02 May 2022, Published online: 29 May 2022

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Jr-Fong Dang. (2024) The deep learning-based equipment health monitoring model adopting subject matter expert. International Journal of Computer Integrated Manufacturing 37:1-2, pages 55-70.
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Articles from other publishers (1)

Beren Gürsoy Yılmaz, Ömer Faruk Yılmaz & Emre Çevikcan. (2023) Lot streaming in workforce scheduling problem for seru production system under Shojinka philosophy. Computers & Industrial Engineering 185, pages 109680.
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