Browsing by Subject "Machine Learning"
Now showing items 1-4 of 4
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Advancements and Applications of Machine Learning in Detecting Radon Nuclear Tracks from 2001 to 2023: A Bibliometric Analysis
(LACCEI, 2023)Acceso abiertoWe present a bibliometric analysis of the advancements in machine learning for detecting radon nuclear tracks, using publications from 2001 to 2023 sourced from Scopus and Web of Science databases. We analyze the growth ... -
Can artificial intelligence do the job of a theoretical physicist?
(IEEE, 2023)Acceso restringidoIf Artificial Intelligence is powerful, then it would cover a wide spectrum of jobs that commonly is done by humans that might require a high level of abstraction and mathematical creation. In this paper, the possibility ... -
Machine Learning As a Blind Creator of Infinite Algebras in the Context of Strings Theory
(IEEE, 2023)Acceso restringidoThis 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 ... -
Predictive Time-Dependent Model Through the Conjunction of Bayes Theorem and Mitchell Criteria
(IEEE, 2023)Acceso restringidoThis 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 ...
