Browsing Ingeniería de Sistemas by Title
Now showing items 206-225 of 247
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TAM: A Reference Model For Mobile Cash Adoption
(Association for Computing Machinery, 2017-08-28)Acceso abiertoSeveral 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
(ACM DL DIGITAL LIBRARY, 2022-10)Acceso restringidoBecause 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
(Revista lbérica de Sistemas e Tecnologias de Informação, 2023)Acceso abiertoEl 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
(Asociación Ibérica de Sistemas y Tecnologías de la Información, 2022-01)Acceso abiertoLa 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
(Institute of Electrical and Electronics Engineers, 2021-10-22)Acceso restringidoLike 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
(Indonesian Journal of Electrical Engineering and Computer Science, 2023)Acceso abiertoUnit 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
(IEEE, 2022)Acceso restringidoAlong 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
(IEEE, 2023)Acceso restringidoThe 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
(Springer, 2021-09)Acceso restringidoThe 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
(IEEE, 2022)Acceso restringidoThe 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
(Institute of Electrical and Electronics Engineers, 2020-09-01)Acceso restringidoIn 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
(Institute of Electrical and Electronics Engineers, 2020-11-11)Acceso restringidoWhen 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
(IEEE, 2023)Acceso restringidoIf 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
(Universidad Autónoma del Perú, 2021-12)Acceso restringidoAs 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
(IEEE, 2023)Acceso restringidoBecause 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
(Institute of Electrical and Electronics Engineers, 2021-08-19)Acceso restringidoIn 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
(Springer Link, 2022)Acceso restringidoQuantum 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
(MDPI, 2023)Acceso abiertoMonkeypox 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
(Institute of Electrical and Electronics Engineers, 2021-12)Acceso restringidoThe 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
(IEEE, 2023)Acceso restringidoThe 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. ...