Hybrid statistical and recurrent neural network architecture implementation in FPGA device used for severe acute respiratory syndrome coronavirus detector

VM Senthilkumar, S Thenmozhi… - Journal of Intelligent …, 2023 - content.iospress.com
Abstract The Severe Acute Respiratory Syndrome (SARS) are caused by the strain of the
corona virus causes cold and influenza. In recent years, the covid pandemic spread …

Wavelet and deep learning-based detection of SARS-nCoV from thoracic X-ray images for rapid and efficient testing

AK Verma, I Vamsi, P Saurabh, R Sudha… - Expert Systems with …, 2021 - Elsevier
This paper proposes a wavelet and artificial intelligence-enabled rapid and efficient testing
procedure for patients with Severe Acute Respiratory Coronavirus Syndrome (SARS-nCoV) …

[HTML][HTML] A secure artificial intelligence-enabled critical Sars crisis management using random sigmoidal artificial neural networks

S Jiang, H Hou - Frontiers in Public Health, 2022 - frontiersin.org
Since December 2019, the pandemic COVID-19 has been connected to the severe acute
respiratory syndrome coronavirus 2 (SARS-CoV-2). Early identification and diagnosis are …

Development of an intelligent system for the detection of corona virus using artificial neural network

NM Umeh, IE Onyenwe - arXiv preprint arXiv:2309.13636, 2023 - arxiv.org
This paper presents the development of an intelligent system for the detection of coronavirus
using artificial neural network. This was done after series of literature review which indicated …

A Classification Framework to Detect Sars Covid-19 Disease Using Feature Selection and Variant-Based Ensemble Learning

A Akhtar - International Journal of Computational and Innovative …, 2023 - ijcis.com
The hazardous COVID-19 pandemic has caused millions of deaths worldwide which depicts
the significance of an early screening of this infection in order to stop it from spreading. Real …

Expert system for diagnosing severe acute respiratory syndrome (e-SARS)

MAM Azau, SAR Al-Haddad, AT Obaidellah… - Proceedings of the 4th …, 2005 - dl.acm.org
Expert System for Diagnosing Severe Acute Respiratory Syndrome (e-SARS), is an expert
system application that models human abilities in analyzing and diagnosing Severe Acute …

[PDF][PDF] A Review of COVID-19 Diagnosis and Detection Using Artificial Intelligence

SH Jasim - Journal of Al-Farabi For Engineering Sciences Vol, 2022 - iasj.net
Coronavirus has received widespread attention from the community of researchers and
medical scientists in the past year. Deploying based on Artificial Intelligence (AI) networks …

Early detection of covid-19 based on preliminary features using machine learning algorithms

M Sharma, U Prakash, A Kumari, K Singla - International Conference on …, 2022 - Springer
In this paper, early detection of Coronavirus has been proposed using some machine
learning techniques. Coronavirus has been the most exceptionally infectious and dangerous …

[PDF][PDF] Accurate prediction of heart disease based on bio system using regressive learning based neural network classifier

AS Oliver, K Ganesan, SA Yuvaraj… - Journal of Ambient …, 2021 - researchgate.net
Heart disease diagnosis is a very hard task in the medical field, so the mortality rate is
increased every day. Also, the diagnosing process is implemented in recent times to predict …

Diagnosis of Covid-19 using optimized convolutional neural network

MH Fatehi, M Taghizadeh, MM Moradi… - journal of Artificial …, 2023 - jaiee.ahar.iau.ir
According to the report of the World Health Organization, corona disease is the most
dangerous and contagious disease in the world. Currently, the most common method used …