Applications of artificial intelligence in COVID-19 pandemic: A comprehensive review

M Khan, MT Mehran, ZU Haq, Z Ullah, SR Naqvi… - Expert systems with …, 2021 - Elsevier
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 …

Review on COVID‐19 diagnosis models based on machine learning and deep learning approaches

ZAA Alyasseri, MA Al‐Betar, IA Doush… - Expert …, 2022 - Wiley Online Library
COVID‐19 is the disease evoked by a new breed of coronavirus called the severe acute
respiratory syndrome coronavirus 2 (SARS‐CoV‐2). Recently, COVID‐19 has become a …

A decade survey of transfer learning (2010–2020)

S Niu, Y Liu, J Wang, H Song - IEEE Transactions on Artificial …, 2020 - ieeexplore.ieee.org
Transfer learning (TL) has been successfully applied to many real-world problems that
traditional machine learning (ML) cannot handle, such as image processing, speech …

Edge computing for internet of everything: A survey

X Kong, Y Wu, H Wang, F Xia - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In this era of the Internet of Everything (IoE), edge computing has emerged as the critical
enabling technology to solve a series of issues caused by an increasing amount of …

[HTML][HTML] Explainable COVID-19 detection using chest CT scans and deep learning

H Alshazly, C Linse, E Barth, T Martinetz - Sensors, 2021 - mdpi.com
This paper explores how well deep learning models trained on chest CT images can
diagnose COVID-19 infected people in a fast and automated process. To this end, we …

[HTML][HTML] Next-generation energy systems for sustainable smart cities: Roles of transfer learning

Y Himeur, M Elnour, F Fadli, N Meskin, I Petri… - Sustainable Cities and …, 2022 - Elsevier
Smart cities attempt to reach net-zero emissions goals by reducing wasted energy while
improving grid stability and meeting service demand. This is possible by adopting next …

Transfer learning for medical images analyses: A survey

X Yu, J Wang, QQ Hong, R Teku, SH Wang, YD Zhang - Neurocomputing, 2022 - Elsevier
The advent of deep learning has brought great change to the community of computer
science and also revitalized numerous fields where traditional machine learning methods …

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 …

Blockchain and AI-based solutions to combat coronavirus (COVID-19)-like epidemics: A survey

DC Nguyen, M Ding, PN Pathirana… - Ieee Access, 2021 - ieeexplore.ieee.org
The beginning of 2020 has seen the emergence of coronavirus outbreak caused by a novel
virus called SARS-CoV-2. The sudden explosion and uncontrolled worldwide spread of …

Vision-based human fall detection systems using deep learning: A review

E Alam, A Sufian, P Dutta, M Leo - Computers in biology and medicine, 2022 - Elsevier
Human fall is one of the very critical health issues, especially for elders and disabled people
living alone. The number of elder populations is increasing steadily worldwide. Therefore …