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Hardware-Based Hopfield Neuromorphic Computing for Fall Detection
With the popularity of smart wearable systems, sensor signal processing poses more challenges to machine learning in embedded scenarios. For example, traditional machine-learning methods for data classification, especially in real time, are computationally intensive. The deployment of Artificial Int...
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| Veröffentlicht in: | Sensors (Basel) |
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| Hauptverfasser: | , , , , , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
MDPI
2020
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7766472/ https://ncbi.nlm.nih.gov/pubmed/33348587 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20247226 |
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