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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 ...
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Coherent Molecular Communications By Using Quantum Mechanics
(IEEE, 2023)
Just like light, molecules might be exhibiting a wavelike behavior. In this case, molecules might be subjected to quantum mechanics. Under this scenario, molecules abandons their deterministic and their spatial displacement ...
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Fast Seismic Detection Through Internet of Things Based in Pulse Laser and High Resolution Detector
(IEEE, 2023)
The revolutionary apparition of Internet of Things have has impact on all aspects of life and still it continues being a paradigm to improve technologies based at the Internet. With the apparition of climate changes, ...
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Inherent RC Circuits in Cylindrical Geometries From the Fokker-Planck Equation
(IEEE, 2023)
The Fokker-Planck equation is used in a scenario of classical electrodynamics as a basic model for transporting charged electrically compounds along a general fluid. While this fluid is contained in a tubular geometry, the ...
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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 ...
Acceso restringido
Can Artificial Intelligence do Autonomous Research?: An Example of Using the Mitchell Criteria
(IEEE, 2023)
Nowadays, media and scientific literature have shown capabilities of Artificial Intelligence (AI) to carry out autonomous activities with the same efficiency as a human being are presented. It is clear that AI can support ...
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Predictive Time-Dependent Model Through the Conjunction of Bayes Theorem and Mitchell Criteria
(IEEE, 2023)
This study aimed to construct a predictive model based on the Bayes theorem and Mitchell criteria. The Bayes theorem is expressed as integrals of convolution by using test probabilistic distribution functions. By assuming ...
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