Taguchi based design of sequential convolution neural network for classification of defective fasteners

Kaur, M, Chauhan, KK, Aggarwal, T, Bharadwaj, P, Vig, R, Ihianle, IK ORCID: https://orcid.org/0000-0001-7445-8573, Joshi, G and Owa, K ORCID: https://orcid.org/0000-0002-1393-705X, 2023. Taguchi based design of sequential convolution neural network for classification of defective fasteners. In: Shakya, S, Du, K-L and Ntalianis, K, eds., Sentiment analysis and deep learning: proceedings of ICSADL 2022. Advances in Intelligent Systems and Computing (1432). Singapore: Springer. ISBN 9789811954429

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Item Type:	Chapter in book
Description:	Paper presented at 2nd International Conference on Sentiment Analysis and Deep Learning (ICSADL 2022), Lalitpur, Nepal, 16-17 June 2022.
Creators:	Kaur, M., Chauhan, K.K., Aggarwal, T., Bharadwaj, P., Vig, R., Ihianle, I.K., Joshi, G. and Owa, K.
Publisher:	Springer
Place of Publication:	Singapore
Date:	2 January 2023
Number:	1432
ISBN:	9789811954429
Identifiers:	Number Type 10.1007/978-981-19-5443-6_39 DOI 1561770 Other
Divisions:	Schools > School of Science and Technology
Record created by:	Laura Ward
Date Added:	12 Jun 2023 11:14
Last Modified:	12 Jun 2023 11:14
URI:	https://irep.ntu.ac.uk/id/eprint/49175

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