A FPGA based recurrent neural networks-based impedance spectroscopy system for detection of YAKE in tuna

A FPGA based recurrent neural networks-based impedance spectroscopy system for detection of YAKE in tuna

Abstract This paper evaluates the use of impedance spectroscopy combined with artificial intelligence. Both technologies have been widely used in food classification and it is proposed a way to improve classifications using recurrent neural networks that treat the impedance data series at different...

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Bibliographic Details
Main Authors: Rafael Gadea-Girones, Jose M. Monzo, Ricardo Colom-Palero, Jorge Fe, Marta Castro-Giraldez, Pedro J. Fito
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Gaed recurrent unit
Impedance spectrocopy
SystemVerilog
FPGA SoC
Online Access:https://doi.org/10.1038/s41598-025-05728-0
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https://doi.org/10.1038/s41598-025-05728-0

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