Optimization of Deep Learning Parameters for Magneto-Impedance Sensor in Metal Detection and Classification

Deep learning technology is generally applied to analyze periodic data, such as the data of electromyography (EMG) and acoustic signals. Conversely, its accuracy is compromised when applied to the anomalous and irregular nature of the data obtained using a magneto-impedance (MI) sensor. Thus, we pro...

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Bibliographic Details
Main Authors: Hoijun Kim, Hobyung Chae, Soonchul Kwon, Seunghyun Lee
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/23/22/9259