Carregant...
FilterNet: A Many-to-Many Deep Learning Architecture for Time Series Classification
In this paper, we present and benchmark FilterNet, a flexible deep learning architecture for time series classification tasks, such as activity recognition via multichannel sensor data. It adapts popular convolutional neural network (CNN) and long short-term memory (LSTM) motifs which have excelled...
Guardat en:
| Publicat a: | Sensors (Basel) |
|---|---|
| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI
2020
|
| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7249062/ https://ncbi.nlm.nih.gov/pubmed/32354082 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s20092498 |
| Etiquetes: |
Afegir etiqueta
Sense etiquetes, Sigues el primer a etiquetar aquest registre!
|