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Suélen M. de Amorim

affiliation not provided to SSRN

  • affiliation not provided to SSRN

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Scholarly Papers (1)

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Predicting Water Absorption in Chicken Carcasses: A Machine Learning-Based Analysis for Variable Classification and Process Optimization

Number of pages: 29 Posted: 06 Jun 2026
Gabriel Balieiro Bortoleti, Michele Di Domenico, José Luiz Francisco Alves, Guilherme Davi Mumbach, Suélen M. de Amorim and Claiton Zanini Brusamarello
Federal Technological University of Paraná, Federal Technological University of Paraná, Federal University of Paraíba, Federal University of Paraíba, affiliation not provided to SSRN and Federal Technological University of Paraná
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Abstract:

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Poultry industry, Immersion chilling, Water absorption, Support vector regression, artificial neural networks, Soft sensors