Blockchain-based IoT devices in supply chain management: a systematic literature review
Through recent progress, the forms of modern supply chains have evolved into complex
networks. The supply chain management systems face a variety of challenges. These …
networks. The supply chain management systems face a variety of challenges. These …
ECG-BiCoNet: An ECG-based pipeline for COVID-19 diagnosis using Bi-Layers of deep features integration
O Attallah - Computers in biology and medicine, 2022 - Elsevier
The accurate and speedy detection of COVID-19 is essential to avert the fast propagation of
the virus, alleviate lockdown constraints and diminish the burden on health organizations …
the virus, alleviate lockdown constraints and diminish the burden on health organizations …
Bio-medical imaging (X-ray, CT, ultrasound, ECG), genome sequences applications of deep neural network and machine learning in diagnosis, detection …
YH Bhosale, KS Patnaik - Multimedia Tools and Applications, 2023 - Springer
This review investigates how Deep Machine Learning (DML) has dealt with the Covid-19
epidemic and provides recommendations for future Covid-19 research. Despite the fact that …
epidemic and provides recommendations for future Covid-19 research. Despite the fact that …
Cardiac disorder classification by electrocardiogram sensing using deep neural network
Cardiac disease is the leading cause of death worldwide. Cardiovascular diseases can be
prevented if an effective diagnostic is made at the initial stages. The ECG test is referred to …
prevented if an effective diagnostic is made at the initial stages. The ECG test is referred to …
Classification of COVID-19 electrocardiograms by using hexaxial feature map** and deep learning
MA Ozdemir, GD Ozdemir, O Guren - BMC medical informatics and …, 2021 - Springer
Abstract Background Coronavirus disease 2019 (COVID-19) has become a pandemic since
its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day …
its first appearance in late 2019. Deaths caused by COVID-19 are still increasing day by day …
COV-ECGNET: COVID-19 detection using ECG trace images with deep convolutional neural network
The reliable and rapid identification of the COVID-19 has become crucial to prevent the
rapid spread of the disease, ease lockdown restrictions and reduce pressure on public …
rapid spread of the disease, ease lockdown restrictions and reduce pressure on public …
An intelligent ECG-based tool for diagnosing COVID-19 via ensemble deep learning techniques
O Attallah - Biosensors, 2022 - mdpi.com
Diagnosing COVID-19 accurately and rapidly is vital to control its quick spread, lessen
lockdown restrictions, and decrease the workload on healthcare structures. The present …
lockdown restrictions, and decrease the workload on healthcare structures. The present …
A holistic approach to identify and classify COVID-19 from chest radiographs, ECG, and CT-scan images using shufflenet convolutional neural network
Early and precise COVID-19 identification and analysis are pivotal in reducing the spread of
COVID-19. Medical imaging techniques, such as chest X-ray or chest radiographs …
COVID-19. Medical imaging techniques, such as chest X-ray or chest radiographs …
Attention-based 3D CNN with residual connections for efficient ECG-based COVID-19 detection
Background The world has been suffering from the COVID-19 pandemic since 2019. More
than 5 million people have died. Pneumonia is caused by the COVID-19 virus, which can be …
than 5 million people have died. Pneumonia is caused by the COVID-19 virus, which can be …
Artificial intelligence for cardiac diseases diagnosis and prediction using ECG images on embedded systems
L Mhamdi, O Dammak, F Cottin, IB Dhaou - Biomedicines, 2022 - mdpi.com
The electrocardiogram (ECG) provides essential information about various human cardiac
conditions. Several studies have investigated this topic in order to detect cardiac …
conditions. Several studies have investigated this topic in order to detect cardiac …