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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Detalles Bibliográficos
Autores principales: Kim, Hoijun, Chae, Hobyung, Kwon, Soonchul, Lee, Seunghyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674819/
https://www.ncbi.nlm.nih.gov/pubmed/38005645
http://dx.doi.org/10.3390/s23229259

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10674819/
https://www.ncbi.nlm.nih.gov/pubmed/38005645
http://dx.doi.org/10.3390/s23229259

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