Convolutional Neural Networks (CNN) for Industrial Parts Recognition: Advancing Manufacturing Digitaliza-tion

Pasavich Nardviriyaku; Sami Hajjaj

doi:10.1007/978-981-96-3949-6_58

Convolutional Neural Networks (CNN) for Industrial Parts Recognition: Advancing Manufacturing Digitaliza-tion

Pasavich Nardviriyaku, Sami Hajjaj^*

^*Corresponding author for this work

School of Robotics

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

Original language	English
Title of host publication	Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024, 22-23 August, Suzhou, China
Subtitle of host publication	Advances in Intelligent Manufacturing and Robotics
Publisher	Springer Singapore
Pages	705-714
ISBN (Electronic)	978-981-96-3949-6
ISBN (Print)	978-981-96-3948-9
DOIs	https://doi.org/10.1007/978-981-96-3949-6_58
Publication status	Published - Sept 2024

Publication series

Name	Lecture Notes in Networks and Systems
Volume	1316
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Access to Document

10.1007/978-981-96-3949-6_58

Cite this

Nardviriyaku, P., & Hajjaj, S. (2024). Convolutional Neural Networks (CNN) for Industrial Parts Recognition: Advancing Manufacturing Digitaliza-tion. In Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024, 22-23 August, Suzhou, China: Advances in Intelligent Manufacturing and Robotics (pp. 705-714). (Lecture Notes in Networks and Systems; Vol. 1316). Springer Singapore. https://doi.org/10.1007/978-981-96-3949-6_58

Nardviriyaku, Pasavich ; Hajjaj, Sami. / Convolutional Neural Networks (CNN) for Industrial Parts Recognition: Advancing Manufacturing Digitaliza-tion. Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024, 22-23 August, Suzhou, China: Advances in Intelligent Manufacturing and Robotics. Springer Singapore, 2024. pp. 705-714 (Lecture Notes in Networks and Systems).

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title = "Convolutional Neural Networks (CNN) for Industrial Parts Recognition: Advancing Manufacturing Digitaliza-tion",

author = "Pasavich Nardviriyaku and Sami Hajjaj",

year = "2024",

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doi = "10.1007/978-981-96-3949-6\_58",

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Nardviriyaku, P & Hajjaj, S 2024, Convolutional Neural Networks (CNN) for Industrial Parts Recognition: Advancing Manufacturing Digitaliza-tion. in Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024, 22-23 August, Suzhou, China: Advances in Intelligent Manufacturing and Robotics. Lecture Notes in Networks and Systems, vol. 1316, Springer Singapore, pp. 705-714. https://doi.org/10.1007/978-981-96-3949-6_58

Convolutional Neural Networks (CNN) for Industrial Parts Recognition: Advancing Manufacturing Digitaliza-tion. / Nardviriyaku, Pasavich; Hajjaj, Sami.
Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024, 22-23 August, Suzhou, China: Advances in Intelligent Manufacturing and Robotics. Springer Singapore, 2024. p. 705-714 (Lecture Notes in Networks and Systems; Vol. 1316).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

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Nardviriyaku P, Hajjaj S. Convolutional Neural Networks (CNN) for Industrial Parts Recognition: Advancing Manufacturing Digitaliza-tion. In Selected Proceedings from the 2nd International Conference on Intelligent Manufacturing and Robotics, ICIMR 2024, 22-23 August, Suzhou, China: Advances in Intelligent Manufacturing and Robotics. Springer Singapore. 2024. p. 705-714. (Lecture Notes in Networks and Systems). doi: 10.1007/978-981-96-3949-6_58