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A Hardware-Deployable Neuromorphic Solution for Encoding and Classification of Electronic Nose Data

In several application domains, electronic nose systems employing conventional data processing approaches incur substantial power and computational costs and limitations, such as significant latency and poor accuracy for classification. Recent developments in spike-based bio-inspired approaches have...

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Detalhes bibliográficos
Publicado no:Sensors (Basel)
Main Authors: Vanarse, Anup, Osseiran, Adam, Rassau, Alexander, van der Made, Peter
Formato: Artigo
Idioma:Inglês
Publicado em: MDPI 2019
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6891685/
https://ncbi.nlm.nih.gov/pubmed/31698785
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s19224831
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