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Now showing items 11-20 of 31
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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Machine Learning of a Pair of Charged Electrically Particles Inside a Closed Volume: Electrical Oscillations as Memory and Learning of System
(Springer Link, 2022)
In this paper the problem of two charged particles inside a frustum is faced through the principles of Machine Learning compacted by the criteria of Tom Mitchell. In essence, the relevant equations from the classical ...
Acceso restringido
The Criteria of Mitchell to Interpret Classical Radiation as Compton Scattering
(IEEE, 2022)
The principles of Machine Learning through the criteria of Mitchell are used to validate a concrete quantum-mechanics interpretation from a classical radiation scheme inside the framework of linear and nonlinear Compton ...
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Computational Reconstruction of Dirac- Delta Function from Quantum Electrodynamics Rules
(IEEE, 2022)
It is reconstructed the Dirac-Delta function exhibiting an interesting texture when the function is parametrized. For this end the well-known quantum electrodynamics rules are employed. Thus when the energy conservation ...
Acceso restringido
Corona Virus and Entropy of Shannon at the Cardiac Cycle: A Mathematical Model
(Springer Link, 2022)
Along the weeks of symptoms due Corona Virus Disease 2019 (Covid-19 in short), patients are exhibiting an inverse relation between Oxygen saturation and beats per minute. Thus, the scenarios of the highest cardiac pulse ...
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The Machine Learning Principles Based at the Quantum Mechanics Postulates
(Springer Link, 2022)
Quantum mechanics is governed by well-defined postulates by the which one can go through either theory or experimental studies in order to perform measurements of microscopic dynamics of elementary particles, atoms and ...
Acceso restringido
Quantum Mechanics of Theorem of Bayes Modeled by Machine Learning Principles
(IEEE, 2022)
A theory consisting in quantum mechanics and theorem of Bayes, is presented. In essence, the Bayes probability has been built from two subspaces. While in one some quantum measurements are done, in the another it is seen ...
Acceso restringido
Theoretical Proposal of an Internet of Pandemic Things Network Based at the Sensing of Proteins and Emission of Radiation in Outdoor Spaces
(IEEE, 2022)
Commonly in pandemic times, curfew and social restrictions are applied in order to minimize the infections. As seen recently at the beginning of Covid-19 it was required that people avoid public spaces because the risk of ...
Acceso restringido
Success and Fail at the Internalization and Expelling of Nanoparticles off Tumor Cells Through Electrodynamics and Diffusion Equation
(IEEE, 2022)
Inspired on the events of success and fail of targeted delivery drugs, this paper has opted by the usage of classical electrodynamics in conjunction to the diffusion equation to study the possible scenarios that allow the ...
Acceso restringido
Theory and Simulation of Multipurpose Antenna for Detection and Degrading of Viruses in Times of Pandemic
(IEEE, 2022)
This paper present a theoretical model that aims to minimize the capabilities of viruses in public places through engineered electromagnetic fields. Thus, the modeling of antenna based at the infinitesimal dipole is used. ...
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