Buscar
Mostrando ítems 1-10 de 297
Human Versus Computer: Who Can Make Valuable Progress in Theoretical Physics?
(IEEE, 2023)
Nowadays, there is a solid consensus about the rapid progress of artificial intelligence and its potential usage in the different functions of society. This paper presents an example about contribution in theoretical physics ...
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 ...
Human Versus Computer: Who Can Make Valuable Progress in Theoretical Physics?
(IEEE, 2023)
Nowadays, there is a solid consensus about the rapid progress of artificial intelligence and its potential usage in the different functions of society. This paper presents an example about contribution in theoretical physics ...
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 ...
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 ...
Direct Usage of Mitchell Criteria to Identify and Predict the Arrival of Next Global Pandemic
(IEEE, 2023)
As was seen at the previous Covid-19 pandemic, the intercontinental flights and aerosols, have been the main causes for a massive infection. In this paper, the technology of Machine Learning based at the criteria of Mitchell ...
Theory of machine learning based on nonrelativistic quantum mechanics
(World ScientificPE, 2021)
The goal of this paper is the presentation of the elementary procedures that normally are done in nonrelativistic Quantum Mechanics in terms of the principles of Machine Learning. In essence, this paper discusses Mitchell's ...
Data Analysis of Particle Physics Experiments Based on Machine Learning and the Mitchell’s Criteria
(SpringerPE, 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 ...
Machine Learning As a Blind Creator of Infinite Algebras in the Context of Strings Theory
(IEEE, 2023)
This paper, presents the scenario that basic algorithms based at the principles of Machine Learning can massively produce a huge amount of algebras. The case of Witt algebra has been focused. Once this algebra is reformulated ...