Now showing items 206-225 of 247

    • TAM: A Reference Model For Mobile Cash Adoption 

      Bayona Orè, Sussy; Layva Rodriguez, Lizet (Association for Computing Machinery, 2017-08-28)
      Acceso abierto
      Several theories of adoption models have been developed. All of them have different constructs depending on their application. Select a model is a difficult task because all of them have strong behavioural elements. In ...
    • Teaching of Physics Courses in Epochs of Pandemic: Tablet versus Blackboard 

      Nieto-Chaupis, Huber; Alfaro-Acuña, Anthony (ACM DL DIGITAL LIBRARY, 2022-10)
      Acceso restringido
      Because the pandemic of Covid-19, lectures and classes have demanded to employ the latest technologies to present an educational session as an online session. For example, universities courses have required that instructors ...
    • Técnicas y algoritmos para predecir el resultado de los partidos de fútbol utilizando la minería de datos, una revisión de la literatura 

      Araujo-Ahon, Antonio; Cardenas-Mayta, Brayan; Iparraguirre-Villanueva, Orlando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (Revista lbérica de Sistemas e Tecnologias de Informação, 2023)
      Acceso abierto
      El resultado de un deporte se ha convertido en una necesidad para los competidores, así como para los fanáticos que siguen a sus equipos favoritos. Sin embargo, la predicción de los resultados de un partido de fútbol (PSMR) ...
    • Tecnología, Innovación y Emprendimiento en el Sector Salud 

      Bayona-Oré, Sussy; Azorsa Salazar, Stephanie; Jimenez, Felipe; Vasquez, Jhonatan (Asociación Ibérica de Sistemas y Tecnologías de la Información, 2022-01)
      Acceso abierto
      La innovación, tecnología y emprendimiento juegan un rol importante en el desarrollo de la economía de un país, en especial en el sector de la salud. La visión de los emprendedores e innovadores en este sector, ha dado ...
    • Testing Machine Learning at Classical Electrodynamics 

      Nieto-Chaupis, Huber (Institute of Electrical and Electronics Engineers, 2021-10-22)
      Acceso restringido
      Like physics or another laws-based basic science, machine learning might also be a firm methodology to solve physics problems by the which a kind of optimization and minimization of energy are needed. Expressed at the ...
    • Text prediction recurrent neural networks using long shortterm memory-dropout 

      Iparraguirre-Villanueva, Orlando; Guevara-Ponce, Victor; Ruiz-Alvarado, Daniel; Beltozar-Clemente, Saul; Sierra-Liñan, Fernando; Zapata-Paulini, Joselyn; Cabanillas-Carbonell, Michael (Indonesian Journal of Electrical Engineering and Computer Science, 2023)
      Acceso abierto
      Unit short-term memory (LSTM) is a type of recurrent neural network (RNN) whose sequence-based models are being used in text generation and/or prediction tasks, question answering, and classification systems due to their ...
    • The Approach of Machine Learning to Optimize the Bank-Customer Interaction at Pandemic Epochs 

      Nieto-Chaupis, Huber (IEEE, 2022)
      Acceso restringido
      Along the pandemic created by the Corona virus 2019 (Covid-19 in shorthand), the global economy was observed to experience various turbulent months that were reflected by the increasing of unemployment and the apparition ...
    • The Bayesian Approach to Derive Wireless Fields in Mobile Stations 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      The fact that a mobile user moves far away from a fixed antenna base station, can be rise to a stochastic scenarios that are entirely governed by a Bayesian theory. This paper introduces a derivation of the electric field ...
    • The Conjunction of Deterministic and Probabilistic Events in Realistic Scenarios of Outdoor Infections 

      Nieto-Chaupis, Huber (Springer, 2021-09)
      Acceso restringido
      The aim of this paper is the derivation of an robust formalism that calculates the so-called social distancing as already determined in the ongoing Corona Virus Disease 2019 (Covid-19 in short) being established in various ...
    • The Criteria of Mitchell to Interpret Classical Radiation as Compton Scattering 

      Nieto-Chaupis, Huber (IEEE, 2022)
      Acceso restringido
      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 ...
    • The Feynman Propagator to Model Molecular Communications Between an Engineered Nanodevice and Beta Cells 

      Nieto-Chaupis, Huber (Institute of Electrical and Electronics Engineers, 2020-09-01)
      Acceso restringido
      In a prospective scenario of nanomedicine, an engineered cargo of nanoparticles would be crucial to alleviate diseases that might to require of a precise doses of biochemical compounds in situ. In this paper, the technique ...
    • The Input-Output Approach in Semiclassical Electrodynamics of Keller-Segel Equation 

      Nieto-Chaupis, Huber (Institute of Electrical and Electronics Engineers, 2020-11-11)
      Acceso restringido
      When the Keller-Segel equation is treated in a semiclassical scenario of electrodynamics involving Quantum Mechanics measurements, it is possible to implement the formalism of input-output in a nature manner without ...
    • The Internet of Brain Things: Theoretical Basis for the Usage of Neuralink Chip 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      If the chip called Neuralink is realized and marketable then a wide spectrum of biomedical opportunities shall be available. One of them is the potential usage of chip as an implanted antenna. In fact, once the chip begins ...
    • The Internet of Tall Buildings 

      Nieto-Chaupis, Huber (Universidad Autónoma del Perú, 2021-12)
      Acceso restringido
      As seen in the event at Surfside, Miami FL, the permanent surveillance of tall buildings might to require the conjunction of the telecommunications technologies that in a side are offering accuracy in various levels of ...
    • The Internet of Tall Buildings Surveillance as an Portable System of Hardware-Software Interface 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      Because the apparition of seismic events, extreme climate conditions (hurricane, tornado, etc) and aging of materials, it is expected a latent risk as to the fall of tall buildings. Thus, it is demanded novel technologies ...
    • The Interrelation Poverty-Unemployment from the Theory of Entropy in Modern Societies 

      Nieto-Chaupis, Huber (Institute of Electrical and Electronics Engineers, 2021-08-19)
      Acceso restringido
      In this paper, a mathematical model based on uncertainties to describe the potential interrelation between unemployment and poverty by using the Shannon’s entropy is presented. Essentially, when social systems that are ...
    • The Machine Learning Principles Based at the Quantum Mechanics Postulates 

      Nieto-Chaupis, Huber (Springer Link, 2022)
      Acceso restringido
      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 Public Health Contribution of Sentiment Analysis of Monkeypox Tweets to Detect Polarities Using the CNN-LSTM Model 

      Iparraguirre-Villanueva, Orlando; Alvarez-Risco, Aldo; Herrera Salazar, Jose Luis; Beltozar-Clemente, Saul; Zapata-Paulini, Joselyn; Yáñez, Jaime A.; Cabanillas-Carbonell, Michael (MDPI, 2023)
      Acceso abierto
      Monkeypox is a rare disease caused by the monkeypox virus. This disease was considered eradicated in 1980 and was believed to affect rodents and not humans. However, recent years have seen a massive outbreak of monkeypox ...
    • The Quantum Mechanics Propagator as the Machine Learning Performance in Space-Time Displacements 

      Nieto-Chaupis, Huber (Institute of Electrical and Electronics Engineers, 2021-12)
      Acceso restringido
      The role of evolution operator is to provide the time displacement of wave function through the Hamiltonian of the system. The usage of coordinates representation gives the well-known propagator that is the Green’s function. ...
    • The Stroke Event as a Shannon Entropy 

      Nieto-Chaupis, Huber (IEEE, 2023)
      Acceso restringido
      The event of stroke is seen as a confluence of various anomalies, particularly in diabetic patients. Thus, the random confluence can also be perceived as a disorder of system that might be dictated by the Shannon entropy. ...