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Now showing items 2092-2111 of 3230
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M-Learning applied to the improvement of the learning of university engineering students
(Institute of Electrical and Electronics Engineers, 2019-09)Acceso restringidoThis paper is intended to determine the extent to which the M-learning model with methodological strategies improves the learning of student’s undergraduates of the Systems Engineering career. The method used was developed ... -
Machine Learning Analysis for Cervical Cancer Prediction, a Systematic Review of the Literature
(Institute of Electrical and Electronics Engineers, 2021-12-30)Acceso restringidoAt present, cervical cancer is still the most complex issue due to the fact that people who suffer from it have a high risk of death. Therefore, it is very important to have an early diagnosis. The present study is a review ... -
Machine Learning Analysis in the Prediction of Diabetes Mellitus: A Systematic Review of the Literature
(Springer Link, 2023)Acceso restringidoIn recent years, diabetes mellitus has increased its prevalence in the global landscape, and currently, due to COVID-19, people with diabetes mellitus are the most likely to develop a critical picture of this disease. In ... -
Machine Learning and Bayes Probability For Detecting Camouflaged Mini Pandemic at the Waves of Covid-19
(IEEE, 2022)Acceso restringidoThis paper present a methodology based at Machine Learning and a theory backed by the Bayes probability to identify rare strains that might not be in coherence with the corona virus. By using the criteria of Tom Mitchell ... -
Machine Learning and Covid-19 Data Predict Next Intercontinental Pandemic
(IEEE, 2023)Acceso restringidoExperiences from past Covid-19 pandemic have led to explore the actions that were taken previous time to the implementation of policies in a fast and optimal manner. Because of this actions the arrival of virus to a country ... -
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 ... -
Machine Learning As an Advanced Algorithm To Solve Optimization Problems in Physics
(Institute of Electrical and Electronics Engineers, 2021-08-19)Acceso restringidoIt is argued that the standard procedures to solve problems in physics particularly in the field of electrodynamics have in a tacit manner the actions of Machine Learning, such as the criteria of Tom Mitchell, (i) task, ... -
Machine Learning Based in Quantum Mechanics and Theorem of Bayes
(IEEE, 2023)Acceso restringidoThis paper proposes a hybrid model of machine learning, based at the principles of quantum mechanics in conjunction to Bayes theorem. With such construction, it is tested onto a scenario dictated by the Mitchell criteria. ... -
Machine Learning for Feeling Analysis in Twitter Communications: A Case Study in HEYDRU!, Perú
(International Journal of Interactive Mobile Technologies (iJIM), 2022-10-21)Acceso abiertoAt present, sentiment analysis has become a trend; above all, in digital product development companies, as it is essential for rapid and automatic analysis. Sentiment analysis deals with emotions with the help of software, ... -
Machine Learning for Management in Software-defined Networks: A Systematic Literature Review
(DBpia, 2022)Acceso restringidoSoftware-Defined Networking (SDN) has emerged as a new paradigm for managing data networks, and Machine Learning (ML) techniques have become relevant in the scientific community to solve management problems. Research on ... -
Machine Learning for Price Prediction for Agricultural Products
(World Scientific and Engineering Academy and Society, 2021-06-07)Acceso abiertoFamily farms play a role in economic development. Limited in terms of land, water and capital resources, family farming is essentially characterized by its use of family labour. Family farms must choose which agricultural ... -
Machine Learning Models for Predicting Student Dropout—a Review
(Springer Link, 2023)Acceso restringidoStudent dropout is a worldwide problem that affects an entire society; thus, being of great concern for academic institutions that seek to retain their students through different strategies, machine learning is the most ... -
Machine Learning of a Pair of Charged Electrically Particles Inside a Closed Volume: Electrical Oscillations as Memory and Learning of System
(Springer Link, 2022)Acceso restringidoIn this paper the problem of two charged particles inside a frustum is faced through the principles of Machine Learning compacted by the criteria of Tom Mitchell. In essence, the relevant equations from the classical ... -
Machine Learning to Assess Urbanistic Development in the South Pole of Lima City
(Springer, 2022-01-01)Acceso restringidoWe employ Machine Learning through the Mitchell’s criteria to carry out an assessment on the potential spatial configurations at the south pole of Lima city, at Perú. Based at both qualitative and quantitative facts, an ... -
Machine Learning-Based Customer Behavior Analysis for E-commerce Platforms
(IEEE, 2023)Acceso restringidoProviding a method that is founded on machine learning to analyze the behavior of customers on e-commerce platforms is the objective of this research study, which aims to provide a method. It is necessary for companies ... -
Manejo de conflictos y desempeño laboral en los colaboradores de la I. E. N° 7079 Ramiro Prialé Prialé. San Juan de Miraflores – 2019
(Universidad Autónoma del Perú, 2022-02-09)Acceso abiertoEl objetivo de este estudio ha sido establecer la relación que existe entre el manejo de conflictos y el desempeño laboral en los colaboradores de la I. E. N° 7079 Ramiro Prialé Prialé. San Juan de Miraflores – 2019. El ... -
El manejo de stock y la rentabilidad económica de la empresa Letrecorp S.A. del distrito de San Luis, 2018.
(Universidad Autónoma del Perú, 2019-08)Acceso abiertoEl presente trabajo de investigación tuvo como objetivo determinar de qué manera el manejo de stock se relaciona con la rentabilidad económica de la empresa Letrecorp S.A. del Distrito de San Luis, 2018. El diseño empleado ... -
El manejo documentario y la recuperación del saldo a favor del exportador de la empresa exportaciones e importaciones Natura S.R.L. en el distrito de Villa María del Triunfo - 2019
(Universidad Autónoma del Perú, 2020-12)Acceso abiertoLa devolución del saldo a favor se ha convertido en un beneficio tributario que pueden aprovechar las empresas exportadoras, sin embargo, por el inadecuado manejo de la documentación, no pueden acceder a la devolución de ... -
El marco jurídico para la expansión de infraestructura de telecomunicaciones y la autorización en el Tupa de la Municipalidad distrital de Pueblo Nuevo- Chincha-2021
(Universidad Autónoma del Perú, 2023-04-26)Acceso abiertoEl presente estudio estableció como objetivo general; determinar la relación que existe entre el marco jurídico para la expansión de infraestructura de telecomunicaciones y la autorización en el tupa de la Municipalidad ... -
El marketing 3.0 y la gestión de ventas en las consultoras del sector Portobello de la empresa Natura Cosméticos S.A, Lima-2017
(Universidad Autónoma del Perú, 2018-08)Acceso abiertoEn el estudio se determinó la situación problemática; la relación entre el marketing 3.0 y la gestión de ventas en las consultoras, por ello se formuló el siguiente problema. ¿Cuál es la relación entre el marketing 3.0 y ...