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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Detalles Bibliográficos
Autores principales: Vanarse, Anup, Osseiran, Adam, Rassau, Alexander, van der Made, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891685/
https://www.ncbi.nlm.nih.gov/pubmed/31698785
http://dx.doi.org/10.3390/s19224831

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6891685/
https://www.ncbi.nlm.nih.gov/pubmed/31698785
http://dx.doi.org/10.3390/s19224831

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