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Artificial intelligence for forecasting and diagnosing COVID-19 pandemic: A focused review
The outbreak of novel corona virus 2019 (COVID-19) has been treated as a public health
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
crisis of global concern by the World Health Organization (WHO). COVID-19 pandemic …
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 …
Association between weather data and COVID-19 pandemic predicting mortality rate: Machine learning approaches
Nowadays, a significant number of infectious diseases such as human coronavirus disease
(COVID-19) are threatening the world by spreading at an alarming rate. Some of the …
(COVID-19) are threatening the world by spreading at an alarming rate. Some of the …
A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms
With the discovery of the COVID-19 vaccine, what has always been worrying the decision-
makers is related to the distribution management, the vaccination centers' location, and the …
makers is related to the distribution management, the vaccination centers' location, and the …
Prediction of COVID-19 confirmed cases combining deep learning methods and Bayesian optimization
COVID-19 virus has encountered people in the world with numerous problems. Given the
negative impacts of COVID-19 on all aspects of people's lives, especially health and …
negative impacts of COVID-19 on all aspects of people's lives, especially health and …
[HTML][HTML] Role of machine learning techniques to tackle the COVID-19 crisis: systematic review
Background: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
havoc worldwide, with patients presenting a spectrum of complications that have pushed …
[HTML][HTML] A novel approach based on integration of convolutional neural networks and echo state network for daily electricity demand prediction
Predicting electricity demand data is considered an essential task in decisions taking, and
establishing new infrastructure in the power generation network. To deliver a high-quality …
establishing new infrastructure in the power generation network. To deliver a high-quality …
A study on a probabilistic method for designing artificial neural networks for the formation of intelligent technology assemblies with high variability
VV Bukhtoyarov, VS Tynchenko, VA Nelyub, IS Masich… - Electronics, 2023 - mdpi.com
Currently, ensemble approaches based, among other things, on the use of non-network
models are powerful tools for solving data analysis problems in various practical …
models are powerful tools for solving data analysis problems in various practical …
Forecasting of COVID-19 time series for countries in the world based on a hybrid approach combining the fractal dimension and fuzzy logic
We describe in this paper a hybrid intelligent approach for forecasting COVID-19 time series
combining fractal theory and fuzzy logic. The mathematical concept of the fractal dimension …
combining fractal theory and fuzzy logic. The mathematical concept of the fractal dimension …
Ensemble learning based on hybrid deep learning model for heart disease early prediction
Many epidemics have afflicted humanity throughout history, claiming many lives. It has been
noted in our time that heart disease is one of the deadliest diseases that humanity has …
noted in our time that heart disease is one of the deadliest diseases that humanity has …