Cargando…
Deploying Machine and Deep Learning Models for Efficient Data-Augmented Detection of COVID-19 Infections
This generation faces existential threats because of the global assault of the novel Corona virus 2019 (i.e., COVID-19). With more than thirteen million infected and nearly 600000 fatalities in 188 countries/regions, COVID-19 is the worst calamity since the World War II. These misfortunes are traced...
Autores principales: | Sedik, Ahmed, Iliyasu, Abdullah M, Abd El-Rahiem, Basma, Abdel Samea, Mohammed E., Abdel-Raheem, Asmaa, Hammad, Mohamed, Peng, Jialiang, Abd El-Samie, Fathi E., Abd El-Latif, Ahmed A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7411959/ https://www.ncbi.nlm.nih.gov/pubmed/32708803 http://dx.doi.org/10.3390/v12070769 |
Ejemplares similares
-
An efficient multi-biometric cancellable biometric scheme based on deep fusion and deep dream
por: El-Rahiem, Basma Abd, et al.
Publicado: (2021) -
Efficient deep learning approach for augmented detection of Coronavirus disease
por: Sedik, Ahmed, et al.
Publicado: (2021) -
Efficient multimodal deep-learning-based COVID-19 diagnostic system for noisy and corrupted images
por: Hammad, Mohamed, et al.
Publicado: (2022) -
Deploying Machine Learning Techniques for Human Emotion Detection
por: Siam, Ali I., et al.
Publicado: (2022) -
Enhanced Deep Learning Approach for Accurate Eczema and Psoriasis Skin Detection
por: Hammad, Mohamed, et al.
Publicado: (2023)