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 …
A review of the machine learning algorithms for COVID-19 case analysis
The purpose of this article is to see how machine learning (ML) algorithms and applications
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …
are used in the COVID-19 inquiry and for other purposes. The available traditional methods …
A binary waterwheel plant optimization algorithm for feature selection
The vast majority of today's data is collected and stored in enormous databases with a wide
range of characteristics that have little to do with the overarching goal concept. Feature …
range of characteristics that have little to do with the overarching goal concept. Feature …
A computer-aided diagnosis system for the classification of COVID-19 and non-COVID-19 pneumonia on chest X-ray images by integrating CNN with sparse …
Several infectious diseases have affected the lives of many people and have caused great
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
dilemmas all over the world. COVID-19 was declared a pandemic caused by a newly …
A hyper learning binary dragonfly algorithm for feature selection: A COVID-19 case study
The rapid expansion of information science has caused the issue of “the curse of
dimensionality”, which will negatively affect the performance of the machine learning model …
dimensionality”, which will negatively affect the performance of the machine learning model …
Detection of COVID-19 severity using blood gas analysis parameters and Harris hawks optimized extreme learning machine
J Hu, AA Heidari, Y Shou, H Ye, L Wang… - Computers in Biology …, 2022 - Elsevier
Abstract Coronavirus disease-2019 (COVID-19) has made the world more cautious about
widespread viruses, and a tragic pandemic that was caused by a novel coronavirus has …
widespread viruses, and a tragic pandemic that was caused by a novel coronavirus has …
Fuzzy rank-based fusion of CNN models using Gompertz function for screening COVID-19 CT-scans
COVID-19 has crippled the world's healthcare systems, setting back the economy and taking
the lives of several people. Although potential vaccines are being tested and supplied …
the lives of several people. Although potential vaccines are being tested and supplied …
Automated ASD detection using hybrid deep lightweight features extracted from EEG signals
Background Autism spectrum disorder is a common group of conditions affecting about one
in 54 children. Electroencephalogram (EEG) signals from children with autism have a …
in 54 children. Electroencephalogram (EEG) signals from children with autism have a …
Multi-surrogate assisted binary particle swarm optimization algorithm and its application for feature selection
The evolutionary algorithms (EAs) have been shown favorable performance for feature
selection. However, a large number of evaluations are required through the EAs. Thus, they …
selection. However, a large number of evaluations are required through the EAs. Thus, they …
Detecting COVID-19 patients based on fuzzy inference engine and Deep Neural Network
COVID-19, as an infectious disease, has shocked the world and still threatens the lives of
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …
billions of people. Recently, the detection of coronavirus (COVID-19) is a critical task for the …