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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Materias: | |
| 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 |