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 …
Artificial intelligence and internet of things (AI-IoT) technologies in response to COVID-19 pandemic: A systematic review
The origin of the COVID-19 pandemic has given overture to redirection, as well as
innovation to many digital technologies. Even after the progression of vaccination efforts …
innovation to many digital technologies. Even after the progression of vaccination efforts …
D2BOF-COVIDNet: A Framework of Deep Bayesian Optimization and Fusion-Assisted Optimal Deep Features for COVID-19 Classification Using Chest X-ray and MRI …
Background and Objective: In 2019, a corona virus disease (COVID-19) was detected in
China that affected millions of people around the world. On 11 March 2020, the WHO …
China that affected millions of people around the world. On 11 March 2020, the WHO …
Reviewing methods of deep learning for diagnosing COVID-19, its variants and synergistic medicine combinations
Q Rafique, A Rehman, MS Afghan, HM Ahmad… - Computers in Biology …, 2023 - Elsevier
The COVID-19 pandemic has necessitated the development of reliable diagnostic methods
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …
for accurately detecting the novel coronavirus and its variants. Deep learning (DL) …
COVID-19 diagnosis: A review of rapid antigen, RT-PCR and artificial intelligence methods
As of 27 December 2021, SARS-CoV-2 has infected over 278 million persons and caused
5.3 million deaths. Since the outbreak of COVID-19, different methods, from medical to …
5.3 million deaths. Since the outbreak of COVID-19, different methods, from medical to …
[HTML][HTML] Combating Covid-19 using machine learning and deep learning: Applications, challenges, and future perspectives
COVID-19, a worldwide pandemic that has affected many people and thousands of
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
individuals have died due to COVID-19, during the last two years. Due to the benefits of …
A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
[HTML][HTML] Mobile apps for COVID-19 detection and diagnosis for future pandemic control: Multidimensional systematic review
M Gheisari, M Ghaderzadeh, H Li, T Taami… - JMIR mHealth and …, 2024 - mhealth.jmir.org
Background In the modern world, mobile apps are essential for human advancement, and
pandemic control is no exception. The use of mobile apps and technology for the detection …
pandemic control is no exception. The use of mobile apps and technology for the detection …
A CNN‐Based Chest Infection Diagnostic Model: A Multistage Multiclass Isolated and Developed Transfer Learning Framework
In 2019, a deadly coronaviral infection (COVID‐19) that infected millions of people globally
was detected in China. This fatal virus affects the respiratory system and currently spreads to …
was detected in China. This fatal virus affects the respiratory system and currently spreads to …
An Artificial Intelligence-as-a-Service Architecture for deep learning model embodiment on low-cost devices: A case study of COVID-19 diagnosis
Abstract Coronavirus Disease-2019 (COVID-19) causes Severe Acute Respiratory
Syndrome-Corona Virus-2 (SARS-CoV-2) and has opened several challenges for research …
Syndrome-Corona Virus-2 (SARS-CoV-2) and has opened several challenges for research …