Search
Now showing items 61-70 of 125
Classical Nonlinear Compton Scattering with Strong Bessel Laser Beams
(Institute of Electrical and Electronics Engineers, 2021-12)
In this paper, the Hartemann-Kerman approach is numerically examined with the implementation of Bessel pulses that dramatically changes the morphology of yielded radiation. For this end it is used the covariant Bessel pulse ...
Acceso restringido
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
The Double-slit experiment and Feynman Amplitudes to Interpret the Rise of Omicron at the Covid-19 Pandemic at 2022
(IEEE, 2022)
As perceived at mostly countries, after the 3th or 4th wave of Covid-19 pandemic, its potential end might be coming. In contrast to previous waves, the last one exhibits different characteristics such as a highly exponential ...
Acceso restringido
Theory and Simulation of Electromagnetic Systems Governed by Machine Learning Principles
(IEEE, 2022)
This paper proposes the idea that electromagnetic systems can be formulated through probabilities once the system has been understood by the classical physics. With this, several physical observables are estimated. Also, ...
Acceso restringido
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