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Now showing items 11-20 of 125
Hybrid 2D Theory of Outdoor Infections in Times of Global Pandemic
(Springer, 2022-01-01)
This paper targets to study the concrete scenario of aerosols transporting virus fact that is seen as a potential cause of massive infections in open spaces through the usage of a two dimension theory. For this end, the ...
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The Interrelation Poverty-Unemployment from the Theory of Entropy in Modern Societies
(Institute of Electrical and Electronics Engineers, 2021-08-19)
In this paper, a mathematical model based on uncertainties to describe the potential interrelation between unemployment and poverty by using the Shannon’s entropy is presented. Essentially, when social systems that are ...
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Surveillance of Anomalous Displacements in Large Buildings Through the Internet of Things: What Can Teach us the Surfside-Miami Events?
(Springer, 2022-01-01)
The recent incidents at Surfside, Miami FL, can be seen as an inherent manifestation of modern structures whose risk were not anticipated in all, so that the periodical assessment of ground layers of particularly very large ...
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Machine Learning to Assess Urbanistic Development in the South Pole of Lima City
(Springer, 2022-01-01)
We employ Machine Learning through the Mitchell’s criteria to carry out an assessment on the potential spatial configurations at the south pole of Lima city, at Perú. Based at both qualitative and quantitative facts, an ...
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Advantages and Disadvantages on Fast Cash Credit: Customers versus Banks
(Institute of Electrical and Electronics Engineers, 2019-11-21)
We study the origin of procrastination from the assumption that the relationship between a customer and a Bank is not well established. Normally the Bank expends a large period of time to assess all advantages and disadvantages ...
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The Tsallis Entropy as a Social Entropy
(Institute of Electrical and Electronics Engineers, 2019-11-21)
We analyze social disorder using the Tsallis entropy that is characterized by having the pseudo-additivity property and being this used to feature certain dynamical systems in nature. By taking advantage of this property, ...
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Data Analysis of Particle Physics Experiments Based on Machine Learning and the Mitchell’s Criteria
(Springer, 2020)
Commonly the searching and identification of new particles, requires to reach highest efficiencies and purities as well. It demands to apply a chain of cuts that reject the background substantially. In most cases the ...
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Predictive Theory of Covid-19 Infections at European Countries Through Bessel Functions: Past and Present
(Universidad Autónoma del Perú, 2021-10-18)
The data of infections by Covid-19 is modeled through the integer-order Bessel functions that have been parametrized in according to the morphology of data. In particular, the modeling is focused on official data belonging ...
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Identifying Second Wave and New Variants of Covid-19 from Shannon Entropy in Global Pandemic Data
(Institute of Electrical and Electronics Engineers, 2021-08-19)
In most countries that have been affected by the arrival of Corona Virus Disease 2019 (or Covid-19 in short), the surveillance of daily state of management of pandemic is reflected on the histogram of number of confirmed ...
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PROSISY: PRospective Stroke Identification SYstem Based on Cognitive Radio Theory and Machine Learning
(Institute of Electrical and Electronics Engineers, 2020-09-01)
In this paper, a surveillance system expected to run in the prospective technology called Internet of Bio-Nano Things is presented. For this end the theory of Cognitive Radio as well as the Machine Learning criteria based ...
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