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HARNAS: Human Activity Recognition Based on Automatic Neural Architecture Search Using Evolutionary Algorithms
Human activity recognition (HAR) based on wearable sensors is a promising research direction. The resources of handheld terminals and wearable devices limit the performance of recognition and require lightweight architectures. With the development of deep learning, the neural architecture search (NA...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540708/ https://www.ncbi.nlm.nih.gov/pubmed/34696140 http://dx.doi.org/10.3390/s21206927 |