Improving Sales Activity Plans with Demand Sensing, ICONDATA 2022, Fethiye, Turkey · Sep 1, 2022
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Using Convolutional Neural Networks for Detecting Acrylamide in Biscuit Manufacturing Process, Datacon 2022 Lisbon, Portugal, ISBN 978-989-758-583-8, ISSN 2184-285X, pages 500-503.DOI: 10.5220/0011310100003269 · Mar 1, 2022
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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.
Improving Replenishment for Retail: Utilizing Planogram Information,July 2024, DOI:10.1007/978-3-031-66329-1_11, In book: Intelligent Systems and Applications (pp.132-152)
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Utkan Menteş 