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Now showing items 11-20 of 37
Introducing New Sources of Green Energy from Basic Physics at the Systems Engineering Program of a Private University at Lima Perú
(ACM DL DIGITAL LIBRARY, 2022)
The hours of laboratory of courses of physics, is a must at the processes of learning of future engineer because it corroborates the theory mainly based at equations, as well as it provides confidence at the students that ...
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Combined Monte Carlo and Machine Learning Algorithms to Predict Horizontal Expansion of Lima City
(IEEE, 2022)
In this paper, the method of Monte Carlo is projected onto the Mitchell criteria inside the framework of Machine Learning. Because the probabilistic character that exhibits the theory of Mitchell, the Monte Carlo technology ...
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Neurogenesis as a Probability Amplitude Governed by Charges-Dependent Hamiltonian
(IEEE, 2022)
Inspired on the idea of Mathew P. A. Fisher about the possibility that quantum mechanics is playing some basic roles on the biochemical processes in the brain, this paper has opted by develop a theory based on the description ...
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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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The Management of a Private Peruvian University at Pandemic Times: Assessment of Decisions and Implications on the Key Indicators
(ACM DL DIGITAL LIBRARY, 2022)
The management of a private Peruvian university along the period 2020-2021 is presented. Special attention has been paid on the qualitative angle in the sense that were described the main actions by which have had as central ...
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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 ...
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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 ...
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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 ...
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