Now showing items 1-20 of 29

    • A method for detecting the profile of an author 

      Silva, Jesus; García, Silvia; Binda, María Alejandra; Marin Gonzalez, Fredy; Barrios, Rosio; Leon Castro, Bellanit (Corporación Universidad de la Costa, 2020)
      This paper presents a method for detecting an author’s profile using the following two elements: gender and age. This is based on a set of dialogues, written in two languages: English and Spanish, provided for Author ...
    • Algorithms for the control of key performance indicators for smart cities 

      Silva, Jesus; Mojica, Julio; Piñeres Castillo, Aurora Patricia; Rojas, Rafael; Acosta, Sandra; Garcia Guliany, Jesus; Steffens Sanabria, Ernesto (Corporación Universidad de la Costa, 2020)
      In addition to the increase in the population in cities, there is an increase in the demand for resources and services, and phenomena such as the lack of social inclusion and inequity appear. In order to mitigate these ...
    • Approach for the classification of polliniferous vegetation using multispectral imaging and neural networks 

      Silva, Jesus; Varela, Noel; Díaz-Martinez, Jorge L.; Jiménez-Cabas, Javier; Pineda Lezama, Omar Bonerge (Corporación Universidad de la Costa, 2020)
      Beekeeping has suffered a serious deterioration in the regions of the world. The possibility of nectar-polliniferous resources has decreased and, therefore, the feeding of bees, with the consequent decrease in production. ...
    • Assembly of classifiers to determine the academic profile of students 

      Silva, Jesus; Rojas Plasencia, Karina Milagros; Senior Naveda, Alexa; Barrios, Rosio; Vargas Mercado, Carlos; Medina, Claudia (Corporación Universidad de la Costa, 2020)
      The assembly methods, or combination of models, arise with the purpose of improving the accuracy of predictions. An assembly contains a number of apprentices (base models) which, when of the same type are called homogeneous ...
    • Association Rules Extraction for Customer Segmentation in the SMEs Sector Using the Apriori Algorithm 

      Silva, Jesus; Varela Izquierdo, Noel; Borrero López, Luz Adriana; Rojas Millán, Rafael Humberto (Procedia Computer Science, 2019)
      Data Mining applied to the field of commercialization allows, among other aspects, to discover patterns of behavior in clients, which companies can use to create marketing strategies addressed to their different types of ...
    • Big data aplication for selecting theses topics 

      Silva, Jesus; Hernandez, Lissette; Crissien Borrero, Tito José; Pineda Lezama, Omar Bonerge; Romero Melo, Jenny Esperanza (Procedia Computer Science, 2019)
      The chairs of thesis research in Computer Sciences at the University of Mumbai, in India, have different tools that provide academic support to those who begin the course. Students present difficulty in selecting the topic ...
    • Comparison of bioinspired algorithms applied to the timetabling problem in sport 

      Silva, Jesus; Cabrera, Danelys; Maco, José; Villón, Martín; Garcia Guliany, Jesus; RONCALLO PICHON, ALBERTO DE JESUS; Hernández Palma, Hugo (Corporación Universidad de la Costa, 2020)
      The problems of timetabling tasks or events, in general, are subject to sets of restrictions such as: creation of work roles, operation of different teams, operation personnel, among others. These types of problems are ...
    • Data mining and neural networks to determine the financial market prediction 

      Silva, Jesus; García Guliany, Jesús; Hernandez, Lissette; Portillo, Rafael; Varela, Noel; Hernandez Palma, Hugo Gaspar; Redondo Bilbao, Osman; Valero, Lesbia (Universidad de la Costa, 2020-03-05)
      Predicting stock market movements has been a complex task for years by gaining the increasing interest of researchers and investors present all around the world. These have tried to get ahead of the way in order to know ...
    • Data mining and social network analysis on Twitter 

      Silva, Jesus; Varela, Noel; Ovallos-Gazabon, David; H, H; Cazallo-Antunez, Ana; Redondo Bilbao, Osman; ORELLANO LLINAS, NATALY; Pineda Lezama, Omar Bonerge (Universidad de la Costa, 2020-03-05)
      The emergence of a networked social structure in the last decade of twentieth century is accelerated by the evolution of information technologies and, in particular, the Internet has given rise to the full emergence of ...
    • Data sciences and teaching methods—learning 

      Silva, Jesus; Portillo, Rafael; Hernandez, Ana Emilia; Varela, Noel; Martinez Caraballo, Hugo; Hernández Palma, Hugo Gaspar; Redondo Bilbao, Osman; Leon Castro, Nadia (Universidad de la Costa, 2020-03-05)
      Data Science (DS) is an interdisciplinary field responsible for extracting knowledge from the data. This discipline is particularly complex in the face of Big Data: large volumes of data make it difficult to store, process ...
    • Design and development of a custom system of technology surveillance and competitive intelligence in SMEs 

      Silva, Jesus; Vidal Pacheco, Lucelys del Carmen; Parra Negrete, Kevin; Combita Niño, Johana Patricia; Pineda Lezama, Omar Bonerge; Izquierdo Varela, Noel (Procedia Computer Science, 2019)
      Making strategic decisions is a complex process that requires reliable and up-to-date information. It is therefore necessary to have tools that facilitate the information management. Technology Surveillance (TS) and ...
    • Determination of contents based on learning styles through artificial intelligence 

      Silva, Jesus; Hernandez, Lissette; Romero, Jenny; Varela, Noel; Hernández Palma, Hugo Gaspar; ORELLANO LLINAS, NATALY; Florez, Yasmin; Vargas Mercado, Carlos (Universidad de la Costa, 2020-03-05)
      The study presents the development of a platform for structuring adaptive courses based on active, reflexive, theoretical and pragmatic learning styles using artificial intelligence techniques. To this end, the following ...
    • Early warning method for the commodity prices based on artificial neural networks: SMEs case 

      Silva, Jesus; MOJICA HERAZO, JULIO CESAR; Rojas Millán, Rafael Humberto; Pineda Lezama, Omar Bonerge; Morgado Gamero, W.B.; Varela Izquierdo, Noel (Procedia Computer Science, 2019)
      Applications based on Artificial Neural Networks (ANN) have been developed thanks to the advance of the technological progress which has permitted the development of sales forecasting on consumer products, improving the ...
    • Evaluation of growth and co2 biofixation by spirulina platensis in different culture media using statistical models 

      Suarez Marenco, Marianella María; MORGADO GAMERO, WENDY BEATRIZ; Sarmiento-Rubiano, Luz Adriana; Parody Muñoz, Alexander Elias; Silva, Jesus (Universidad de la Costa, 2020-02-07)
      This study was proposed for evaluating the CO2 fixation by Spirulina platensis in different media, in order to understand the growth dynamics of the photosynthetic microalgae, a useful resource for the mitigation of climate ...
    • Factorial analysis in the intellectual capital’s dimensions on micro, small, and medium-sized export enterprises 

      Escobar Castillo, Adalberto Enrique; Velandia Pacheco, Gabriel; Hernández-Fernández, Lissette; Navarro, Evaristo; Crissien Borrero, Tito José; Silva, Jesus (Procedia Computer Science, 2019)
      The objective of this paper is to analyze the intellectual capital in the industrial export MSMEs of the Atlántico Department. A research was conducted through a quantitative approach with a field, non-experimental design, ...
    • Identification of patterns of fatal injuries in humans through big data 

      Silva, Jesus; Zilberman, Jack; Romero Marin, Ligia Cielo; Pineda, Omar; Herazo-Beltran, Yaneth (Corporación Universidad de la Costa, 2020)
      External cause injuries are defined as intentionally or unintentionally harm or injury to a person, which may be caused by trauma, poisoning, assault, accidents, etc., being fatal (fatal injury) or not leading to death ...
    • Integration of data mining classification techniques and ensemble learning for predicting the export potential of a company 

      Silva, Jesus; Romero Borré, Jenny; Piñeres Castillo, Aurora Patricia; Castro, Ligia; Varela, Noel (Procedia Computer Science, 2019)
      In this research, data mining techniques are integrated with Ensemble Learning for predicting the export potential of a company. The analysis covers the stages of measurement, evaluation and classification of companies, ...
    • Measuring the financial performance of MSMEs through artificial neural network 

      Silva, Jesus; Hernandez, Lissette; Emilia Hernandez, Ana; Varela, Noel; H, H; Redondo Bilbao, Osman; León Castro, Nadia; Prieto Pulido, Ronald; García Guliany, Jesús (Universidad de la Costa, 2020)
      Given the importance of micro, small and medium-sized enterprises (MSMEs) in Colombia, both in terms of the number of enterprises and the generation of employment, it is important to know their nature, as well as the main ...
    • Method for the recovery of images in databases of Rice grains from visual content 

      Varela Izquierdo, Noel; Silva, Jesus; Marin Gonzalez, Fredy; Palencia-Domínguez, Pablo; Hernandez Palma, Hugo; Pineda, Omar (Corporación Universidad de la Costa, 2021)
      This paper presents a method for detecting and identifying defects in polished rice grains from their scanned image using an expert system. The sample used is designed to contain specimens with the most common defects. ...
    • Model and simulation of a distribution logistic system for learning 

      Silva, Jesus; Hernandez, Lissette; Crissien Borrero, Tito José; Pineda Lezama, Omar Bonerge; Portillo Medina, Rafael Angel (Procedia Computer Science, 2019)
      Computer-based simulation is one of the most extensively used tools of Information and Communication Technologies (ICT). This technique allows to simulate the operation of different kinds of facilities or processes in the ...