An Efficient Heartbeats Classifier Based on Optimizing Convolutional Neural Network Model
Recently, deep learning models have emerged as promising methods for the diagnosis of different diseases. Cardiac disease is among the leading life-threatening diseases on a global scale. The aim of this paper is to propose an optimized Convolutional Neural Network (CNN) model for the classification...
Guardado en:
Autores principales: | Eman Maghawry, Tarek F. Gharib, Rasha Ismail, Mohammed J. Zaki |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/857cb0a9f97345f3a4a2b3f96dc2ed87 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Comparison of Tree-Structured Parzen Estimator Optimization in Three Typical Neural Network Models for Landslide Susceptibility Assessment
por: Guangzhi Rong, et al.
Publicado: (2021) -
Classifying chest CT images as COVID-19 positive/negative using a convolutional neural network ensemble model and uniform experimental design method
por: Yao-Mei Chen, et al.
Publicado: (2021) -
AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK
por: LAWRENCE OMOTOSHO, et al.
Publicado: (2021) -
Diagnosis of Alzheimer’s Disease with Ensemble Learning Classifier and 3D Convolutional Neural Network
por: Peng Zhang, et al.
Publicado: (2021) -
Classification of age-related macular degeneration using convolutional-neural-network-based transfer learning
por: Yao-Mei Chen, et al.
Publicado: (2021)