Cargando…
Utilizing CNN-LSTM techniques for the enhancement of medical systems
COVID-19 is one of the most chronic and serious infections of recent years due to its worldwide spread. Determining who was genuinely affected when the disease spreads more widely is challenging. More than 60% of affected individuals report having a dry cough. In many recent studies, diagnostic mode...
Autores principales: | Rayan, Alanazi, holyl alruwaili, Sager, Alaerjan, Alaa S., Alanazi, Saad, Taloba, Ahmed I., Shahin, Osama R., Salem, Mostafa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10105249/ http://dx.doi.org/10.1016/j.aej.2023.04.009 |
Ejemplares similares
-
An Improved Crow Search Optimization with Bi-LSTM Model for Identification and Classification of COVID-19 Infection from Chest X-Ray Images
por: Rayan, Alanazi, et al.
Publicado: (2023) -
Estimation of Organizational Competitiveness by a Hybrid of One-Dimensional Convolutional Neural Networks and Self-Organizing Maps Using Physiological Signals for Emotional Analysis of Employees
por: Alanazi, Saad Awadh, et al.
Publicado: (2021) -
An Effective Data Science Technique for IoT-Assisted Healthcare Monitoring System with a Rapid Adoption of Cloud Computing
por: M Abd El-Aziz, Rasha, et al.
Publicado: (2022) -
IoT-Oriented 6G Wireless Network System for Smart Cities
por: Kamruzzaman, M. M., et al.
Publicado: (2022) -
Machine Algorithm for Heartbeat Monitoring and Arrhythmia Detection Based on ECG Systems
por: Taloba, Ahmed I., et al.
Publicado: (2021)