Ingeniería de Sistemas: Recent submissions
Now showing items 1-20 of 329
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Light Quantization with Classical Fields in Strong Laser
(IEEE, 2025-04-21)Acceso restringidoIn this paper is demonstrated that quantum ef-fects can be derived in a straightforward manner from the classical radiation intensity equation. To accomplish this, it is employed the equation done by Hartemann and Kerman ... -
Hamiltonian-based Quantum Paths Guided by Engineered Perceptron
(IEEE, 2025-04-21)Acceso restringidoThe case of a massive particle traveling along the space-plane but guided by an algorithm based at perceptron, is presented. Essentially, it is defined the corresponding Hamiltonian that in a first instance turns out to ... -
Global Inflation Data Modeled by Commutative and Non-Commutative Algebra
(IEEE, 2025-04-21)Acceso restringidoAccording the global data, global inflation data has exhibited ups and downs along a period of 20 years. One can wonder if the whole dataset can be merely represented by mathematical operations. In this paper, such operations ... -
Artificial Derivation of Schrödinger Equation Driven by Artificial Neural Networks
(IEEE, 2025-04-21)Acceso restringidoStarting from the idea that artificial intelligent might be able to derive known as well as unknown equations of physics and other different branches of basic science, the concept of perceptron was used to derive the the ... -
Bayesian Synapse Driven by Quantum Hamiltonian and Electrical Interactions
(IEEE, 2025-04-21)Acceso restringidoA probabilistic model of Synapse is proposed. In concrete, synapse is proposed as a Bayesian probability that requires the quantum probabilities for both: the interaction of Calcium 2+ in axon area, and the releasing of ... -
Perturbed Perceptron's Input to Derive Schrödinger Equation in Artificial Neural Networks
(IEEE, 2025-04-21)Acceso restringidoWith the arrival of powerful computers and advanced algorithms, the searching of new fundamental equations describing our universe, is expected. In this manner, artificial intelligence might to be able to reproduce known ... -
Theory of Electrical Currents from Bunching of Electrons with Boltzmann Equation
(IEEE, 2025-03-13)Acceso restringidoInspired at the theory of free electron laser, this paper uses the Boltzmann equation to derive electric currents from a bunching of electrons passing along a cylindrical geometry. Some concepts derived from classical ... -
Machine Learning as Mediator of Classical Electrodynamics and Quantum Mechanics
(IEEE, 2025-03-13)Acceso restringidoMachine Learning has been used as part of a closed-form operation that allows to link classical physics to quantum mechanics of a free electron radiating photons inside superintese laser field. To accomplish this an ... -
Machine Learning for Identification of Quantum Effects in Dirac-Lorentz Electrodynamics
(IEEE, 2025-03-13)Acceso restringidoA computational methodology based at Machine Learning in order to identify quantum effects at Dirac-Lorentz electrodynamics, is proposed. Essentially, the present contribution is based in an algorithm that employs the ... -
Simulation of Events at the Strong-Field Regime with Bayes Theorem
(IEEE, 2025-03-13)Acceso restringidoA scheme to simulate events of electron and positron pairs created at the high intensity regime in according to Breit-Wheeler probabilities, is presented. This considers collisions between emitted photons by nonlinear ... -
Endocytosis of Charged Electrically Nano Drugs Described by Boltzmann Equation
(IEEE, 2025-03-11)Acceso restringidoOnce a volume of nanoparticles have been released by cargo close to tumor cells, it is desired to expect that a big fraction of them reaches its internalization through a successful endocytosis. Because central purpose of ... -
Classical-to-Quantum Transition in a Super-Intense Laser and Field Quantization
(IEEE, 2025-03-11)Acceso restringidoThe transition from a high-intensity laser passing from a Gaussian shape to one exhibiting Bessel profile, is presented. A semiclassical procedure by which external fields has not been quantized, was opted. The role of ... -
Scrutinizing Big Data with Commutative and Non-commutative Algebra
(IEEE, 2025-03-11)Acceso restringidoA theoretical framework based in commutative and non-commutative algebra of abstract operators, is presented. Basically, attention has been paid on the form as these operators through eigenvalues equations can model ... -
A Bibliometric Review of COVID-19 Vaccines and Their Side Effects: Trends and Global Perspectives
(MDPI, 2025-03-10)Acceso abiertoThis bibliometric review analyzes global research on COVID-19 vaccine side effects, focusing on publication trends, collaborations, and key topic areas. Using VOSviewer and Bibliometrix for data analysis and visualization, ... -
Derivation of Weibull Distributions From Spike-like Inputs in Artificial Neural Networks
(IEEE, 2025-02-26)Acceso restringidoThe idea that artificial neural network based at perceptron can be expressed as a family of Weibull functions is explored. Basically, it is assumed that “spike” inputs produce a kind of deformation on the resulting Sigmoid ... -
Phenomenological Recession: From Gaussian to Bayesian Probability
(IEEE, 2025-02-26)Acceso restringidoIf recession is a random event, then it might be governed by probabilistic laws instead determinism, because unexpected confluence of variables showing notable changes in their behavior in time. This paper, proposes the ... -
Predictive Model of Next Global Pandemic Based in Perceptron and Shannon Entropy
(IEEE, 2025-02-26)Acceso restringidoBased at the idea that global pandemic and its central peak of infections had as main cause the conjunction of variables derived from a kind of disorder, then one might to expect that data would be described by the Shannon ... -
Synapse as a Control System Based at a Thevenin LRC Biocircuit
(IEEE, 2025-02-26)Acceso restringidoSynapse as any other nature mechanism aims to optimize processes, in that case is to guarantee the dynamics of neurotransmitters. Since them would acquire the role as electric charges, then one might to assume that synapse ... -
Quantization of Energies with Machine Learning Without Quantum Mechanics
(IEEE, 2025-02-26)Acceso restringidoThe field of Machine Learning through the technique of artificial neural network is used to determine in a straightforward manner the quantized energies of a particle in an infinite well. To accomplish this, unphysical ... -
Machine Learning Algorithms for Producing Equations in Physics
(IEEE, 2025-02-26)Acceso restringidoBased at the prospective scenario that computers might to replace humans, emerge the idea that them can carry out jobs as a scientist does. Thus, one might to expect that for example machine learning can be a serious ...
