Applications of artificial intelligence in battling against covid-19: A literature review
M Tayarani - Chaos, Solitons and Fractals, 2020 - researchprofiles.herts.ac.uk
Colloquially known as coronavirus, the Severe Acute Respiratory Syndrome CoronaVirus 2
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
(SARS-CoV-2), that causes CoronaVirus Disease 2019 (COVID-19), has become a matter of …
Artificial intelligence approaches and mechanisms for big data analytics: a systematic study
Recent advances in sensor networks and the Internet of Things (IoT) technologies have led
to the gathering of an enormous scale of data. The exploration of such huge quantities of …
to the gathering of an enormous scale of data. The exploration of such huge quantities of …
Efficient deep neural networks for classification of COVID-19 based on CT images: Virtualization via software defined radio
The novel 2019 coronavirus disease (COVID-19) has infected over 141 million people
worldwide since April 20, 2021. More than 200 countries around the world have been …
worldwide since April 20, 2021. More than 200 countries around the world have been …
On the role of artificial intelligence in medical imaging of COVID-19
Although a plethora of research articles on AI methods on COVID-19 medical imaging are
published, their clinical value remains unclear. We conducted the largest systematic review …
published, their clinical value remains unclear. We conducted the largest systematic review …
X‐ray equipped with artificial intelligence: changing the COVID‐19 diagnostic paradigm during the pandemic
Purpose. Due to the excessive use of raw materials in diagnostic tools and equipment
during the COVID‐19 pandemic, there is a dire need for cheaper and more effective …
during the COVID‐19 pandemic, there is a dire need for cheaper and more effective …
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 …
An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images
Abstract In recent times, COVID-19, has a great impact on the healthcare sector and results
in a wide range of respiratory illnesses. It is a type of Ribonucleic acid (RNA) virus, which …
in a wide range of respiratory illnesses. It is a type of Ribonucleic acid (RNA) virus, which …
Blockchain-federated and deep-learning-based ensembling of capsule network with incremental extreme learning machines for classification of COVID-19 using CT …
Due to the rapid rate of SARS-CoV-2 dissemination, a conversant and effective strategy
must be employed to isolate COVID-19. When it comes to determining the identity of COVID …
must be employed to isolate COVID-19. When it comes to determining the identity of COVID …
Structural attention graph neural network for diagnosis and prediction of COVID-19 severity
With rapid worldwide spread of Coronavirus Disease 2019 (COVID-19), jointly identifying
severe COVID-19 cases from mild ones and predicting the conversion time (from mild to …
severe COVID-19 cases from mild ones and predicting the conversion time (from mild to …
Management of covid-19 detection using artificial intelligence in 2020 pandemic
M Ghaderzadeh, M Aria - … of the 5th international conference on medical …, 2021 - dl.acm.org
Successful early detection of Covid-19 disease plays an important role in improving the
effectiveness of treatment and managing the pandemic. Various diagnostic methods for the …
effectiveness of treatment and managing the pandemic. Various diagnostic methods for the …