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Theoretical Artificial Intelligence Based on Shannon Entropy to Identify Strains in Covid-19 Pandemic
(Universidad Autónoma del Perú, 2021-10-18)
Based in the fact that ongoing pandemic is caused by a kind of disorder, this paper employs the concept of Shannon entropy to model data of infections by Covid-19. The usage of this represents a proposal as a type of ...
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Understanding the Global Data of Infections Cases by Covid-19 Through Gaussian and Trapezoid Models
(IEEE, 2021)
Once initialized the first wave of pandemic due to Covid-19 pandemic, it was seen in most countries a common pattern that gives account about the number of infections. Nevertheless one finds also that in mosly of these ...
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Pandemic of Covid-19 as Global Entropy: When Shannon Theory fits To-Date Data of New Infections
(Universidad Autónoma del Perú, 2021-12)
It is well-known that Coronavirus has been propagated due to human activities mainly based at intercontinental flights. Thus, in the first months of 2020, most new countries have already presented peaks in the number of ...
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Exploring Geographical Topologies and Diffusion of Monkeypox Infections at the Beginning Pandemic
(IEEE, 2022)
Although a bit more of 2 months from the outbreak of Monkeypox pandemic, global data of number of infections are exhibiting an exponential behavior due to a fast propagation. In this paper it is analyzed the reported data ...
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The Approach of Machine Learning to Optimize the Bank-Customer Interaction at Pandemic Epochs
(IEEE, 2022)
Along the pandemic created by the Corona virus 2019 (Covid-19 in shorthand), the global economy was observed to experience various turbulent months that were reflected by the increasing of unemployment and the apparition ...
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