Using Convolutional Neural Networks for Detecting Acrylamide in Biscuit Manufacturing Process

Dilruba Topcuoglu, Berat Mentes, Nur Askin, Ayse Sengul, Zeynep Cankut, Talip Akdemir, Murat Ayvaz, Elif Kurt, Ozge Erdohan, Tumay Temiz, Murat Ceylan

2022

Abstract

Based on a research in 2002 (Ozkaynak & Ova, 2006), acrylamide substance is formed when excessive heat treatment (e.g. frying, grilling, baking) is applied to starch-containing products. This substance contains carcinogenic and neurotoxicological risks for human health. The acrylamide levels are controlled by random laboratory sampling. This control processes which are executed by humans, cause a prolonged and error prone process. In this study, we offer a Convolutional Neural Network (CNN) model, which provides acceptable precision and recall rates for detecting acrylamide in biscuit manufacturing process.

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Paper Citation


in Harvard Style

Topcuoglu D., Mentes B., Askin N., Sengul A., Cankut Z., Akdemir T., Ayvaz M., Kurt E., Erdohan O., Temiz T. and Ceylan M. (2022). Using Convolutional Neural Networks for Detecting Acrylamide in Biscuit Manufacturing Process. In Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA, ISBN 978-989-758-583-8, pages 500-503. DOI: 10.5220/0011310100003269


in Bibtex Style

@conference{data22,
author={Dilruba Topcuoglu and Berat Mentes and Nur Askin and Ayse Sengul and Zeynep Cankut and Talip Akdemir and Murat Ayvaz and Elif Kurt and Ozge Erdohan and Tumay Temiz and Murat Ceylan},
title={Using Convolutional Neural Networks for Detecting Acrylamide in Biscuit Manufacturing Process},
booktitle={Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,},
year={2022},
pages={500-503},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011310100003269},
isbn={978-989-758-583-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Data Science, Technology and Applications - Volume 1: DATA,
TI - Using Convolutional Neural Networks for Detecting Acrylamide in Biscuit Manufacturing Process
SN - 978-989-758-583-8
AU - Topcuoglu D.
AU - Mentes B.
AU - Askin N.
AU - Sengul A.
AU - Cankut Z.
AU - Akdemir T.
AU - Ayvaz M.
AU - Kurt E.
AU - Erdohan O.
AU - Temiz T.
AU - Ceylan M.
PY - 2022
SP - 500
EP - 503
DO - 10.5220/0011310100003269