Neural Network for Metal Detection Based on Magnetic Impedance Sensor

Neural Network for Metal Detection Based on Magnetic Impedance Sensor

The efficiency of the metal detection method using deep learning with data obtained from multiple magnetic impedance (MI) sensors was investigated. The MI sensor is a passive sensor that detects metal objects and magnetic field changes. However, when detecting a metal object, the amount of change in...

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Bibliographic Details
Main Authors:	Sungjae Ha, Dongwoo Lee, Hoijun Kim, Soonchul Kwon, EungJo Kim, Junho Yang, Seunghyun Lee
Format:	Article
Language:	English
Published:	MDPI AG 2021-06-01
Series:	Sensors
Subjects:	convolutional neural network deep learning magnetic impedance metal detection recurrent neural network sensor
Online Access:	https://www.mdpi.com/1424-8220/21/13/4456

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