Now showing items 1-20 of 88

    • A deep learning-based hybrid model for recommendation generation and ranking 

      Sivaramakrishnan, N.; Subramaniyaswamy, V.; amelec, viloria; Vijayakumar, V.; Senthilselvan, N. (2020)
      A recommender system plays a vital role in information filtering and retrieval, and its application is omnipresent in many domains. There are some drawbacks such as the cold-start and the data sparsity problems which affect ...
    • A method for estimating the age of people in forensic medicine using multivariable statistics 

      BARRAZA SALCEDO, MARÍA DEL SOCORRO; Parody Muñoz, Alexander Elias; Borré-Ortiz, Yeis Miguel; amelec, viloria; Cervera Cárdenas, Jorge Eduardo (Corporación Universidad de la Costa, 2020-09-08)
      The present study seeks to generate a regression model that allows estimating the age of individuals in the city of Barranquilla (Colombia) from the stages of people’s teeth, in order to generate a tool to help forensic ...
    • A method for the prediction of the shrinkage in roasted and ground coffee using multivariable statistics 

      Parody Muñoz, Alexander Elias; Charris, Dhizzy; amelec, viloria; Cervera Cárdenas, Jorge Eduardo; Hernandez, Hugo (Corporación Universidad de la Costa, 2020-09-08)
      This study seeks to determine the influence of process variables: consumption percentage in the mixture, pasilla percentage in the mixture, storage time, humidity percentage in the product for consumption, humidity percentage ...
    • Analysis of crowd behavior through pattern virtualization 

      amelec, viloria; Pineda Lezama, Omar Bonerge; Vargas, Jesus (Corporación Universidad de la Costa, 2020)
      The study of the concentration of individuals in public places such as squares, shopping malls, parks, gardens, etc., is an open study field in the different disciplines of science, that leads to the need of having systems ...
    • Analytical study of radiative casson nanoliquid flow with heat absorption 

      Loganathan, K.; Tamilvanan, K.; amelec, viloria; Varela, Noel; Pineda Lezama, Omar Bonerge (Corporación Universidad de la Costa, 2020)
      The divergence of thermally radiative MHD flow of a Casson nanofluid over a stretching paper alongside heat absorption. The governing non linear equations are remodeled into a nonlinear ODE’s. The HAM is adopted to find ...
    • Analyzing and predicting power consumption profiles using big data 

      amelec, viloria; Prieto Pulido, Ronald Antonio; García Guiliany, Jesús; Martínez Ventura, Jairo; Hernández Palma, Hugo; Jinete Torres, José; REDONDO BILBAO, OSMAN ENRIQUE; Pineda Lezam, Omar Bonerge (Communications in Computer and Information Science, 2019)
      The Euclidean distance (ED), the mean absolute error (MAE), the mean absolute percentage error (MAPE) and the root of the mean quadratic error (RMQE) are used to evaluate the predictive capability of the models supported ...
    • Análisis de componentes principales en la competitividad en Colombia 

      Solano Benavides, Elcira de Jesus; Alandete Brochero , Nelson de Jesus; amelec, viloria (Revista Ibérica de Sistemas e Tecnologias de Informação, 2019-10-17)
      El objetivo de esta investigación es estimar un indicador de competitividad en Colombia por medio de una metodología factorial de componentes principales. Entre los principales resultados se estimó un indicador de ...
    • Artificial techniques applied to the improvement of the previous signals in the power amplifiers 

      amelec, viloria; Lizardo Zelaya, Nelson Alberto; Mercado Caruso, Nohora Nubia (Corporación Universidad de la Costa, 2020)
      A rapid evolution in electronic systems has been experienced in recent years, and one of the fields where this development has been notorious is the telecommunication systems in which users demand more and better services ...
    • Bayesian classifier applied to higher education dropout 

      amelec, viloria; Pineda Lezama, Omar Bonerge; Varela Izquierdo, Noel (Procedia Computer Science, 2019)
      The research proposes a new simple Bayesian classifier (SBND) with Markov from the class variable to a network structure. Experimental tests are carried out by working a dropout analysis on students enrolled in the Faculty ...
    • Big data marketing during the period 2012–2019: a bibliometric review 

      amelec, viloria; Vargas, Jesús; García Cali, Ernesto; Martínez Sierra, David; Perdomo Villalobos, Alexandra; REDONDO BILBAO, OSMAN ENRIQUE; Mercado Sarmiento, Alberto Enrique; Hernández Palma, Hugo (Universidad de la Costa, 2019)
      The present study identifies the most significant trends in production of high impact scientific papers related to the Big Data Marketing variable during the period between the years 2012 and 2019 through a revision of the ...
    • Classification of authors for an automatic recommendation process for criminal responsibility 

      amelec, viloria; Pineda Lezama, Omar Bonerge; Chang, Eduardo (Corporación Universidad de la Costa, 2020)
      One problem in classifying tasks is the handling of features that characterize classes. When the list of features is long, a noise resistant algorithm of irrelevant features can be used, or these features can be reduced. ...
    • Classification of digitized documents applying neural networks 

      amelec, viloria; Varela, Noel; Pineda Lezama, Omar Bonerge; ORELLANO LLINAS, NATALY; Flores, Yasmin; Hernandez Palma, Hugo Gaspar; Vargas Mercado, Carlos; Marín González, Freddy (Universidad de la Costa, 2020-03-05)
      The exponential increase of the information available in digital format during the last years and the expectations of future growth make it necessary for the organization of information in order to improve the search and ...
    • Cluster of geographic networks and interaction of actors in museums: A representation through weighted graphs 

      Lis-Gutiérrez, Jenny-Paola; amelec, viloria; Rincón Vásquez, Juan Carlos; Zerda-Sarmiento, Álvaro; Aguilera-Hernández, Doris; Santander-Abril, Jairo (Corporación Universidad de la Costa, 2020-09-08)
      This article aims to determine what are the strong and weak interactions of geographic museum networks in Colombia, with other national and foreign actors. We applied a survey to nine territorial networks that are made up ...
    • Clustering of top 50 latin american universities in SIR, QS, ARWU, and webometrics rankings 

      Torres-Samuel , Maritza; Luisa Vásquez, Carmen; Luna cardozo, Marisabel; Bucci, Nunziatina; amelec, viloria; Cabrera, Danelys (Procedia Computer Science, 2019)
      Every year, international rankings of the universities are published reflecting their positioning through the evaluation of academic and research quality criteria established in their methodologies. The positioning of Latin ...
    • Comparative analysis between different automatic learning environments for sentiment analysis 

      amelec, viloria; Varela Izquierdo, Noel; Vargas, Jesús; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      Sentiment Analysis is a branch of Natural Language Processing in which an emotion is identified through a sentence, phrase or written expression on the Internet, allowing the monitoring of opinions on different topics ...
    • Competitiveness indicator in colombia through of multivariable statistics 

      Solano Benavides, Elcira de Jesus; Alandete Brochero , Nelson de Jesus; amelec, viloria (Universidad de la Costa, 2019)
      The objective of this research is to estimate a competitiveness indicator in Colombia through a factorial methodology of principal components. A competitiveness indicator was estimated presenting significant correlations ...
    • Computational analysis of third-grade liquid flow with cross diffusion effects: application to entropy modeling 

      Loganathan, K.; A, CHARLES SAGAYARAJ; amelec, viloria; Varela, Noel; Pineda Lezama, Omar Bonerge; Ortiz-Ospino, Luis Eduardo (Corporación Universidad de la Costa, 2020)
      The key goal of this current study is to analyze the entropy generation with cross diffusion effects. The third-grade type non-Newtonian fluid model is used in this study. The current flow problem is modelled with stretching ...
    • Data mining applied in school dropout prediction 

      amelec, viloria; García Guliany, Jesús; Niebles Núñez, William; H, H; Niebles Nuñez, Leonardo David (Journal of Physics: Conference Series, 2020)
      In recent years, many studies have emerged about regarding the topic of school failure, showing a growing interest in determining the multiple factors that may influence it [1]. Most of the researches that attempt to solve ...
    • Data mining techniques and multivariate analysis to discover Patterns in university final researches 

      amelec, viloria; Rodríguez López, Jorge; García Leyva, Diana Margarita; Vargas Mercado, Carlos; Hernández-Palma, Hugo; ORELLANO LLINAS, NATALY; Arrozola David, Mónica; Velasquez Rodriguez, Javier (Procedia Computer Science, 2019)
      The aim of this study is to extract knowledge from the final researches of the Mumbai University Science Faculty. Five classification models were applied: Vector Support Machines, Neural Networks, Decision Tree, Random ...
    • Data processing for direct marketing through Big Data 

      amelec, viloria; Varela, Noel; MALDONADO PEREZ, DOYREG; Pineda Lezama, Omar Bonerge (Universidad de la Costa, 2020-01-07)
      Traditional marketing performs promotion through various channels such as news in newspapers, radio, etc., but those promotions are aimed at all people, whether or not interested in the product or service being promoted. ...