Cargando…
Convolutional neural networks and temporal CNNs for COVID-19 forecasting in France
This paper focus on multiple CNN-based (Convolutional Neural Network) models for COVID-19 forecast developed by our research team during the first French lockdown. In an effort to understand and predict both the epidemic evolution and the impacts of this disease, we conceived models for multiple ind...
Autores principales: | Mohimont, Lucas, Chemchem, Amine, Alin, François, Krajecki, Michaël, Steffenel, Luiz Angelo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8044508/ https://www.ncbi.nlm.nih.gov/pubmed/34764593 http://dx.doi.org/10.1007/s10489-021-02359-6 |
Ejemplares similares
-
Convolutional neural networks (CNNs): concepts and applications in pharmacogenomics
por: Vaz, Joel Markus, et al.
Publicado: (2021) -
Convolutional Neural Networks (CNNs) for Pneumonia Classification on Pediatric Chest Radiographs
por: Saboo, Yash S, et al.
Publicado: (2023) -
The Application of Convolutional Neural Networks (CNNs) to Recognize Defects in 3D-Printed Parts
por: Wen, Hao, et al.
Publicado: (2021) -
Study of the Application of Deep Convolutional Neural Networks (CNNs) in Processing Sensor Data and Biomedical Images
por: Hu, Weijun, et al.
Publicado: (2019) -
Spatial-temporal hypergraph convolutional network for traffic forecasting
por: Zhao, Zhenzhen, et al.
Publicado: (2023)