NSLNet: An improved deep learning model for steel surface defect classification utilizing small training datasets

Author:

Nath Vikanksh,Chattopadhyay Chiranjoy,Desai K.A.

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Mechanics of Materials

Reference25 articles.

1. Machine learning in continuous casting of steel: A state-of-the-art survey;Cemernek;J Intell Manuf,2021

2. Surface defect identification and measurement for metal castings by vision system;Galan;Manuf Lett,2018

3. Advanced cover glass defect detection and classification based on multi-dnn model;Park;Manuf Lett,2020

4. A deep learning-based approach for automatic leather classification in industry 4.0;Pazzaglia,2021

5. A novel deep ordinal classification approach for aesthetic quality control classification;Rosati;Neural Comput Appl,2022

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