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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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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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Quadratic Spreading of Monkeypox Infections Dictated by the Diffusion Equation: The Case of Central Europe
(IEEE, 2022)
In contrast to Covid-pandemic, the ongoing Monkeypox might not exhibit peaked distributions nor Gaussian-like waves. On the contrary it is demonstrated that along the first weeks of Monkeypox pandemic, the number of ...
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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 ...
Acceso restringido
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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