Ingeniería de Sistemas: Recent submissions

Now showing items 1-20 of 323

    • Theory of Electrical Currents from Bunching of Electrons with Boltzmann Equation 

      Nieto-Chaupis, Huber (IEEE, 2025-03-13)
      Acceso restringido
      Inspired 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 

      Nieto-Chaupis, Huber (IEEE, 2025-03-13)
      Acceso restringido
      Machine 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 

      Nieto-Chaupis, Huber (IEEE, 2025-03-13)
      Acceso restringido
      A 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 

      Nieto-Chaupis, Huber (IEEE, 2025-03-13)
      Acceso restringido
      A 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 

      Nieto-Chaupis, Huber (IEEE, 2025-03-11)
      Acceso restringido
      Once 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 

      Nieto-Chaupis, Huber (IEEE, 2025-03-11)
      Acceso restringido
      The 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 

      Nieto-Chaupis, Huber (IEEE, 2025-03-11)
      Acceso restringido
      A 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 

      Benites, Santiago; Díaz, Félix; Liza, Rafael; Sánchez, Luis; Rivera, Luis (MDPI, 2025-03-10)
      Acceso abierto
      This 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 

      Nieto-Chaupis, Huber (IEEE, 2025-02-26)
      Acceso restringido
      The 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 

      Nieto-Chaupis, Huber (IEEE, 2025-02-26)
      Acceso restringido
      If 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 

      Nieto-Chaupis, Huber (IEEE, 2025-02-26)
      Acceso restringido
      Based 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 

      Nieto-Chaupis, Huber (IEEE, 2025-02-26)
      Acceso restringido
      Synapse 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 

      Nieto-Chaupis, Huber (IEEE, 2025-02-26)
      Acceso restringido
      The 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 

      Nieto-Chaupis, Huber (IEEE, 2025-02-26)
      Acceso restringido
      Based 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 ...

    • Data Interpretation Driven by Algebra of Time-Dependent Operators 

      Nieto-Chaupis, Huber (IEEE, 2025-02-26)
      Acceso restringido
      Huge volumes of data might to be containing hidden events that might to be associated to new laws or fundamental principles. If data follows polynomials forms then it can be related to abstract operations belonging to a ...

    • IT risks associated with information theft in the financial system - a systematic review 

      Cabanillas-Allca, Frank; Chaquila-Muñoz, Sebastian; Iparraguirre-Villanueva, Orlando (Institute of Advanced Engineering and Science, 2025-02-12)
      Acceso abierto
      This research paper systematically reviews the financial system’s computer security risks associated with information theft. The objective is to explore the security risks and their implications concerning information ...

    • Electric Circuits at Synaptic Cleft from Equation of Boltzmann 

      Nieto-Chaupis, Huber (IEEE, 2024)
      Acceso restringido
      This paper focuses in concrete at processes done at synaptic cleft zone where neural synapse carries out information through the pass of neurotransmitters from neuron to other. Mainly, neurotransmitters as electrically ...

    • Enhancing Concrete Compression Strength with Potassium Polyacrylate as an Internal Curing Agent 

      Riva, Max; Jayo, Jhon F.; Cerna, Nhell; Diaz, Felix; Liza, Rafael (IEEE, 2024)
      Acceso restringido
      In this paper, the effectiveness of potassium poly-acrylate as an internal curing agent for improving the compressive strength of concrete is investigated. Concrete specimens designed to achieve a strength of 210 kg/cm ...

    • Theory and Simulation of Perceptron Through Quantum Mechanics Formalism 

      Nieto-Chaupis, Huber (IEEE, 2024)
      Acceso restringido
      Inside field of Machine Learning or ML one finds the formulation of artificial neural networks or ANN as a robust method to predict data under minimal bias. It constitutes a key procedure inside field of Artificial ...

    • Theory and Testing of Bayesian Handover 

      Nieto-Chaupis, Huber (IEEE, 2024)
      Acceso restringido
      Inspired in new paradigms about the advanced engineering and usage of resources in 5G and schemes expected to be applied in prospective wireless systems, the idea that an event of handover (hard or soft) is dictated by ...