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Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review
During the current global public health emergency caused by novel coronavirus disease 19
(COVID-19), researchers and medical experts started working day and night to search for …
(COVID-19), researchers and medical experts started working day and night to search for …
A contemporary survey of recent advances in federated learning: Taxonomies, applications, and challenges
Abstract The Internet of Things (IoT) has embedded itself in our daily lives, offering smart
services and AI-driven applications. However, traditional AI methods face challenges due to …
services and AI-driven applications. However, traditional AI methods face challenges due to …
[HTML][HTML] A new approach in identifying the psychological impact of COVID-19 on university student's academic performance
COVID-19 was first discovered in Wuhan, China on December 2019. It is one of the worst
pandemics in human history. The education sector is one of the sectors most affected by the …
pandemics in human history. The education sector is one of the sectors most affected by the …
[HTML][HTML] Evaluation of 5G techniques affecting the deployment of smart hospital infrastructure: Understanding 5G, AI and IoT role in smart hospital
Smart Hospital will play a key role in improving the quality of services (QoS) related to the
health sector. In the present scenario, it is impossible to accommodate an ageing population …
health sector. In the present scenario, it is impossible to accommodate an ageing population …
Forecasting daily Covid-19 cases in the world with a hybrid ARIMA and neural network model
LR de Araújo Morais, GS da Silva Gomes - Applied soft computing, 2022 - Elsevier
The use of models to predict disease cases is common in epidemiology and related areas,
in the context of Covid-19, both ARIMA and Neural Network models can be applied for …
in the context of Covid-19, both ARIMA and Neural Network models can be applied for …
[HTML][HTML] Automated triage system for intensive care admissions during the COVID-19 pandemic using hybrid XGBoost-AHP approach
The sudden increase in patients with severe COVID-19 has obliged doctors to make
admissions to intensive care units (ICUs) in health care practices where capacity is …
admissions to intensive care units (ICUs) in health care practices where capacity is …
A review of advanced technologies available to improve the healthcare performance during COVID-19 pandemic
Abstract Information technology (IT) has enabled the initiation of an innovative healthcare
system. An innovative healthcare system integrates new technologies such as cloud …
system. An innovative healthcare system integrates new technologies such as cloud …
A comprehensive review of imaging findings in COVID-19-status in early 2021
A Afshar-Oromieh, H Prosch… - European journal of …, 2021 - Springer
Medical imaging methods are assuming a greater role in the workup of patients with COVID-
19, mainly in relation to the primary manifestation of pulmonary disease and the tissue …
19, mainly in relation to the primary manifestation of pulmonary disease and the tissue …
[HTML][HTML] Machine vision approach for diagnosing tuberculosis (TB) based on computerized tomography (CT) scan images
Tuberculosis is curable, still the world's second inflectional murderous disease, and ranked
13th (in 2020) by the World Health Organization on the list of leading death causes. One of …
13th (in 2020) by the World Health Organization on the list of leading death causes. One of …
The threat of adversarial attack on a COVID-19 CT image-based deep learning system
Y Li, S Liu - Bioengineering, 2023 - mdpi.com
The coronavirus disease 2019 (COVID-19) rapidly spread around the world, and resulted in
a global pandemic. Applying artificial intelligence to COVID-19 research can produce very …
a global pandemic. Applying artificial intelligence to COVID-19 research can produce very …