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Automated detection and forecasting of covid-19 using deep learning techniques: A review
Abstract In March 2020, the World Health Organization (WHO) declared COVID-19 a global
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
epidemic, caused by the SARS-CoV-2 virus. Initially, COVID-19 was diagnosed using real …
An overview of deep learning techniques for COVID-19 detection: methods, challenges, and future works
Abstract The World Health Organization (WHO) declared a pandemic in response to the
coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the …
coronavirus COVID-19 in 2020, which resulted in numerous deaths worldwide. Although the …
The economics of deep and machine learning-based algorithms for COVID-19 prediction, detection, and diagnosis sha** the organizational management of …
Research background: Deep and machine learning-based algorithms can assist in COVID-
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
19 image-based medical diagnosis and symptom tracing, optimize intensive care unit …
Authentication schemes for healthcare applications using wireless medical sensor networks: A survey
Many applications are developed with the quick emergence of the Internet of things (IoT)
and wireless sensor networks (WSNs) in the health sector. Healthcare applications that use …
and wireless sensor networks (WSNs) in the health sector. Healthcare applications that use …
[HTML][HTML] Internet of things with deep learning techniques for pandemic detection: A comprehensive review of current trends and open issues
Technological advancements for diverse aspects of life have been made possible by the
swift development and application of Internet of Things (IoT) based technologies. IoT …
swift development and application of Internet of Things (IoT) based technologies. IoT …
[HTML][HTML] A novel hybrid supervised and unsupervised hierarchical ensemble for COVID-19 cases and mortality prediction
Though COVID-19 is no longer a pandemic but rather an endemic, the epidemiological
situation related to the SARS-CoV-2 virus is develo** at an alarming rate, impacting every …
situation related to the SARS-CoV-2 virus is develo** at an alarming rate, impacting every …
Digital transformation process towards resilient production systems and networks
Coordinating the digital transformation of globally dispersed factories within global
manufacturing networks has become critical for competitiveness. From the procurement of …
manufacturing networks has become critical for competitiveness. From the procurement of …
Application of artificial intelligence in assessing the self-management practices of patients with type 2 diabetes
The use of Artificial intelligence in healthcare has evolved substantially in recent years. In
medical diagnosis, Artificial intelligence algorithms are used to forecast or diagnose a …
medical diagnosis, Artificial intelligence algorithms are used to forecast or diagnose a …
An assessment of ensemble learning approaches and single-based machine learning algorithms for the characterization of undersaturated oil viscosity
TT Akano, CC James - Beni-Suef University Journal of Basic and Applied …, 2022 - Springer
Background Prediction of accurate crude oil viscosity when pressure volume temperature
(PVT) experimental results are not readily available has been a major challenge to the …
(PVT) experimental results are not readily available has been a major challenge to the …
Performance of machine learning models for pandemic detection using COVID-19 dataset
The pandemic produced by coronavirus2 (COVID-19) and other related infectious diseases
have been confined to the world, and there is a need to control its spread as well as prepare …
have been confined to the world, and there is a need to control its spread as well as prepare …