Enhancing Quality Control: Defect State Classification of Taralli Biscuits with MobileNet-v2 and DenseNet-201-Reference-Cited by-同舟云学术

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Enhancing Quality Control: Defect State Classification of Taralli Biscuits with MobileNet-v2 and DenseNet-201

Published:2023-09-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 12th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications (IDAACS)
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Author:

Tutuncu Kemal¹^ORCID,Yasin Elham Tahsin²^ORCID,Koklu Murat³^ORCID

Affiliation:

1. Selcuk University,Department of Electrical & Electronic Engineering,Konya,TÜRKİYE

2. Graduate School of Natural and Applied Sciences, Computer Engineering, Selcuk University,Konya,TÜRKİYE

3. Selcuk University,Department of Computer Engineering,Konya,TÜRKİYE

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10348627/10348628/10348851.pdf?arnumber=10348851

Reference26 articles.

1. Quality control and good manufacturing practice (GMP) in the biscuit industry

2. Classification of Biscuit Defect States and Foreign Objects Using CNN-Based Features;Taspinar

3. Single-Point and Surface Quality Assessment Algorithm in Continuous Production with the Use of 3D Laser Doppler Scanning Vibrometry System

4. Observations on patterns in foreign material investigations

5. The Risk Analysis of Metallic Foreign Bodies in Food Products

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