Quality Check of Cooking Ingredients using CSRR and ANN

This article discusses the design of a Complimentary Split Ring Resonator (CSRR) for the characterization of various cooking ingredients, including oil, water, and curd. The transmission data (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$S_{21}$</tex>) are measured with drops of curd, oil, and water on the CSRR. The measured <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$S_{21}$</tex> is used with artificial neural network (ANN) for classification of the ingredients.

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Published
2025-06-05
DOI
https://doi.org/10.1109/wams64402.2025.11158425
Primary Topic
Technology and Data Analysis
Type
article
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article

Quality Check of Cooking Ingredients using CSRR and ANN

Elizabeth George, Alex James, Anitha Gopi, Amal Pramod
Technology and Data Analysis
article

Quality Check of Cooking Ingredients using CSRR and ANN

Elizabeth George, Alex James, Anitha Gopi, Amal Pramod
article en

Abstract

This article discusses the design of a Complimentary Split Ring Resonator (CSRR) for the characterization of various cooking ingredients, including oil, water, and curd. The transmission data (<tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$S_{21}$</tex>) are measured with drops of curd, oil, and water on the CSRR. The measured <tex xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">$S_{21}$</tex> is used with artificial neural network (ANN) for classification of the ingredients.

Digital Science (United States) (US)
Openalex Percentile: Top 62%
Technology and Data Analysis
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