Cargando…
IoT enabled depthwise separable convolution neural network with deep support vector machine for COVID-19 diagnosis and classification
At present times, the drastic advancements in the 5G cellular and internet of things (IoT) technologies find useful in different applications of the healthcare sector. At the same time, COVID-19 is commonly spread from animals to persons, but today it is transmitting among persons by adapting the st...
Autores principales: | Le, Dac-Nhuong, Parvathy, Velmurugan Subbiah, Gupta, Deepak, Khanna, Ashish, Rodrigues, Joel J. P. C., Shankar, K. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778504/ https://www.ncbi.nlm.nih.gov/pubmed/33727984 http://dx.doi.org/10.1007/s13042-020-01248-7 |
Ejemplares similares
-
Security designs for the cloud, IoT, and social networking
por: Bhatt, Chintan, et al.
Publicado: (2019) -
LdsConv: Learned Depthwise Separable Convolutions by Group Pruning
por: Lin, Wenxiang, et al.
Publicado: (2020) -
WMR-DepthwiseNet: A Wavelet Multi-Resolution Depthwise Separable Convolutional Neural Network for COVID-19 Diagnosis
por: Monday, Happy Nkanta, et al.
Publicado: (2022) -
Recognition of Crop Diseases Based on Depthwise Separable Convolution in Edge Computing
por: Gu, Musong, et al.
Publicado: (2020) -
FPGA Implementation for Odor Identification with Depthwise Separable Convolutional Neural Network
por: Mo, Zhuofeng, et al.
Publicado: (2021)