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The Quantum Mechanics Propagator as the Machine Learning Performance in Space-Time Displacements
(Institute of Electrical and Electronics Engineers, 2021-12)
The role of evolution operator is to provide the time displacement of wave function through the Hamiltonian of the system. The usage of coordinates representation gives the well-known propagator that is the Green’s function. ...
Acceso restringido
Duality at Classical Electrodynamics and its Interpretation through Machine Learning Algorithms
((IJACSA) International Journal of Advanced Computer Science and Applications, 2022)
The aim of this paper is to investigate the hypothetical duality of classical electrodynamics and quantum mechanics
through the usage of Machine Learning principles. Thus, the Mitchell’s criteria are used. Essentially ...
Acceso abierto
Computational Study of Quantum Coherence from Classical Nonlinear Compton Scattering with Strong Fields
((IJACSA) International Journal of Advanced Computer Science and Applications, 2022)
From the covariant formulation of radiation intensity of Hartemann-Kerman model entirely constructed in the classical electrodynamics scenario, a formulation of coherent states has been obtained in an explicit manner ...
Acceso abierto
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 ...
Acceso restringido
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 ...
Acceso restringido
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 ...
Acceso restringido
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 ...
Acceso restringido
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 ...
Acceso restringido
Hybrid Courses Based on Basic Sciences and Green Technologies in Engineering Programs
(MDPI, 2023)
An ineluctable topic has emerged and needs to be treated in engineering programs for green energies. Particularly in the programs of electrical and systems engineering, students can acquire the capabilities to envision the ...
Acceso abierto
Is Drug Delivery System a Deterministic or Probabilistic Approach? A Theoretical Model Based on the Sequence: Electrodynamics–Diffusion–Bayes
(MDPI, 2023)
Commonly, it is accepted that oncology treatment would yield outcomes with a certain determinism without any quantitative support or mathematical model that establishes such deter minations. Nowadays, with the advent of ...
Acceso abierto