Artificial Intelligence (AI) applications for COVID-19 pandemic
Background and aims Healthcare delivery requires the support of new technologies like
Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight …
Artificial Intelligence (AI), Internet of Things (IoT), Big Data and Machine Learning to fight …
Agent-based social simulation of the COVID-19 pandemic: A systematic review
When planning interventions to limit the spread of Covid-19, the current state of knowledge
about the disease and specific characteristics of the population need to be considered …
about the disease and specific characteristics of the population need to be considered …
An intelligent framework using disruptive technologies for COVID-19 analysis
This paper describes a framework using disruptive technologies for COVID-19 analysis.
Disruptive technologies include high-tech and emerging technologies such as AI, industry …
Disruptive technologies include high-tech and emerging technologies such as AI, industry …
Artificial intelligence (AI) and big data for coronavirus (COVID-19) pandemic: a survey on the state-of-the-arts
The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec.
2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and …
2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and …
Spatio-temporal propagation of COVID-19 pandemics
The coronavirus known as COVID-19 has spread worldwide since December 2019. Without
any vaccination or medicine, the means of controlling it are limited to quarantine and social …
any vaccination or medicine, the means of controlling it are limited to quarantine and social …
[HTML][HTML] The future of labor unions in the age of automation and at the dawn of AI
The COVID-19 crisis has accelerated an already-ongoing process of massive digitalization
in economic production and services. AI and robotics are getting, for the first time …
in economic production and services. AI and robotics are getting, for the first time …
The number of confirmed cases of covid-19 by using machine learning: Methods and challenges
Covid-19 is one of the biggest health challenges that the world has ever faced. Public health
policy makers need the reliable prediction of the confirmed cases in future to plan medical …
policy makers need the reliable prediction of the confirmed cases in future to plan medical …
Pharmacological, non-pharmacological policies and mutation: an artificial intelligence based multi-dimensional policy making algorithm for controlling the casualties …
O Tutsoy - IEEE Transactions on Pattern Analysis and Machine …, 2021 - ieeexplore.ieee.org
Fighting against the pandemic diseases with unique characters requires new sophisticated
approaches like the artificial intelligence. This paper develops an artificial intelligence …
approaches like the artificial intelligence. This paper develops an artificial intelligence …
Covid-19 spread: Reproduction of data and prediction using a SIR model on Euclidean network
K Biswas, A Khaleque, P Sen - arxiv preprint arxiv:2003.07063, 2020 - arxiv.org
We study the datafor the cumulative as well as daily number of cases in the Covid-19
outbreak in China. The cumulative data can be fit to an empirical form obtained from a …
outbreak in China. The cumulative data can be fit to an empirical form obtained from a …
Can we predict the occurrence of COVID-19 cases? Considerations using a simple model of growth
This study aimed to present a simple model to follow the evolution of the COVID-19 (CV-19)
pandemic in different countries. The cumulative distribution function (CDF) and its first …
pandemic in different countries. The cumulative distribution function (CDF) and its first …