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Now showing items 11-20 of 25
Machine Learning and Bayes Probability For Detecting Camouflaged Mini Pandemic at the Waves of Covid-19
(IEEE, 2022)
This paper present a methodology based at Machine Learning and a theory backed by the Bayes probability to identify rare strains that might not be in coherence with the corona virus. By using the criteria of Tom Mitchell ...
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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 ...
Acceso restringido
The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections
(Springer, 2021-09)
The aim of this paper is the derivation of an robust formalism that calculates the so-called social distancing as already determined in the ongoing Corona Virus Disease 2019 (Covid-19 in short) being established in various ...
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Spreading of Corona Virus in Central Europe: The Cases of Italy and Spain and the Very Beginning of Pandemic
(Institute of Electrical and Electronics Engineers, 2021-11)
In this paper a mathematical model that focuses at the very beginning of pandemic at Europe is presented. In essence it is assumed that once the virus arrived to Italy then the geographical propagation was done through ...
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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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Probabilities of Risk Due to Random Aerosol Displacement and Aleatory Social Distancing
(IEEE, 2021)
With the apparition of Corona Virus Disease (Covid-19 in short) a plethora of mechanisms have emerged in order to protect people. One of them is the well-known social distancing that is a global protocol that has emerged ...
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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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Exact Calculation of Social Distancing at Ongoing COVID-19 Pandemic by Using Simple Kinematics of Aerosols
(Universidad Autónoma del Perú, 2021-12)
In the ongoing Covid-19 panemic the social distance is needed to guarantee healthy oral Communications even with the wearing of a mask. In this paper the so-called social distancing is calculated with the usage of simple ...
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Model of Early Intervention Using Machine Learning: Predicting Monkeypox Pandemic
(IEEE, 2022)
This paper presents a model of intervention at the first phases of global pandemic using the criteria of Mitchell that simplifies to some extent the philosophy of Machine Learning. These criteria are projected onto the ...
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Covid-19 Versus Monkeypox-2022: The Silent Struggle of Global Pandemics
(Springer Link, 2023)
The theorem of Bayes is applied in a straightforward manner to investigate if Covid-19 and Monkeypox 2022 can coexist together. According to realistic scenarios and global data it was verified that Covid-19 is a kind of ...
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