Now showing items 1-20 of 56

    • Algorithm for detecting polarity of opinions in laptop and restaurant domains 

      Silva, Jose; Varela Izquierdo, Noel; Cabrera, Danelys; Lezama, Omar; Varas, Jesus; Manco, Patricia (Corporación Universidad de la Costa, 2021)
      The easy access to the Internet and the large amounts of information produced on the Web, Artificial Intelligence and more specifically the Natural Language Processing (NLP) provide information extraction mechanisms. The ...
    • Analysis of patterns in the university world rankings webometrics, Shanghai, QS and SIR-SCimago: case Latin America 

      Torres Samuel, Maritza; Vásquez, Carmen; Viloria Silva, Amelec Jesus; Varela Izquierdo, Noel; Hernández Fernández, Lissette; Portillo Medina, Rafael (Lecture Notes in Computer Science, 2018)
      The internationalization and positioning of universities offers relative comparisons, studied according to different teaching and research criteria. Among the recognized rankings are the Academic Ranking of World Universities ...
    • 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 ...
    • 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 ...
    • Bayesian networks applied to climate conditions inside a naturally ventilated greenhouse 

      Silva, Jesús; NAVARRO, EVARISTO; Varela Izquierdo, Noel; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      The prediction of gradients in a naturally ventilated greenhouse is difficult to achieve, due to the inherently stochastic nature of the airflow. Bayesian networks are numerical uncertainty techniques that can be used to ...
    • Calculation model and methodology for stiffness evaluation in hydraulics cylinders 

      Gómez Rodríguez, V.; Cabello Eras, Juan Jose; Varela Izquierdo, Noel; Hernandez Herrera, Hernan; Sagastume Gutierrez, Alexis (ARPN Journal of Engineering and Applied Sciences, 2017)
      In the paper an analysis scheme able to considerate of all the main geometric and load factors that affect the behavior of a hydraulic cylinder in its action as a flexural-compression member. Also, experimental validations ...
    • Classification of chest diseases using deep learning 

      Silva, Jesús; Zilberman, Jack; Pinillos-Patiño, Yisel; Varela Izquierdo, Noel; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      The field of computer vision has had exponential progress in a wide range of applications due to the use of deep learning and especially the existence of large annotated image data sets [1]. Significant improvements have ...
    • Classification of mitochondrial network images associated with the study of breast cancer 

      Silva, Jesús; Varela Izquierdo, Noel; Diaz Arroyo, Esperanza; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      Within various cellular processes, an increase in fission (a division of a single organelle into two or more independent structures) causes mitochondrial fragmentation and an increase in fusion (the opposite reaction of ...
    • Cluster of the latin american universities top100 according to webometrics 2017 

      Vásquez, Carmen; Torres Samuel, Maritza; Viloria Silva, Amelec Jesus; Lis Gutierrez, Jenny Paola; Crissien Borrero, Tito José; Varela Izquierdo, Noel; Cabrera Mercado, Danelis (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2018)
      Due to the processes of internationalization, competitiveness and other related elements, universities have implemented policies and management systems that allow them to monitor and measure their world ranking position ...
    • 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 ...
    • Comparison of bio-inspired algorithms applied to the hospital mortality risk stratification 

      Silva, Jesús; Herazo-Beltrán, Yaneth; Marín-González, Freddy; Varela Izquierdo, Noel; Pineda, Omar; Palencia-Domínguez, Pablo; Vargas Mercado, Carlos (Corporación Universidad de la Costa, 2020)
      The construction of patient classification (or risk adjustment) systems allows comparison of the effectiveness and quality of hospitals and hospital services, providing useful information for management decision making and ...
    • Comparison of bioinspired algorithms applied to the timetabling problem 

      Silva, Jose; Varela Izquierdo, Noel; Varas, Jesus; Lezama, Omar; Maco, José; Villón, Martín (Corporación Universidad de la Costa, 2021)
      The problem of timetabling events is present in various organizations such as schools, hospitals, transportation centers. The purpose of timetabling activities at a university is to ensure that all students attend their ...
    • Competitions of multi-agent systems for teaching artificial intelligence 

      Silva, Jesús; Pineda Lezama, Omar Bonerge; Varela Izquierdo, Noel (Universidad de la Costa, 2019)
      This paper presents an approach based on competitions of multiagent systems as the basis for teaching advanced topics in Artificial Intelligence. The method was applied in the Cognitive Robotics course with students of ...
    • Convolutional neural network with multi-column characteristics extraction for image classification 

      Silva, Jesús; Varela Izquierdo, Noel; Patiño-Saucedo, Janns A.; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      In the last few decades, the constant growth of digital images, as the main source of information representation for scientific applications, has made image classification a challenging task. To achieve high classification ...
    • Coupling architecture between INS/GPS for precise navigation on set paths 

      Silva, Jesús; Varela Izquierdo, Noel; Pineda, Omar; Hernández Palma, Hugo; Cueto, Eduardo Nicolas (Corporación Universidad de la Costa, 2020)
      GPS offers the advantage of providing high long-term position accuracy with residual errors that affect the final positioning solution to a few meters with a sampling frequency of 1 Hz (Marston et al. in Decis Support Syst ...
    • CTR prediction of internet ads using artificial organic networks 

      Silva, Jesús; Varela Izquierdo, Noel; Cabrera, Danelys; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      For advertising networks to increase their revenues, priority must be given to the most profitable ads. The most important factor in the profitability of an ad is the click-through-rate (CTR) which is the probability that ...
    • Deep learning of robust representations for multi-instance and multi-label image classification 

      Silva, Jesús; Varela Izquierdo, Noel; Mendoza Palechor, Fabio; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      In multi-instance problems (MIL), an arbitrary number of instances is associated with a class label. Therefore, the labeling of training data becomes simpler (since it is done together, instead of individually) with the ...
    • Design of a network with VANET sporadic cloud computing applied to traffic accident prevention 

      amelec, viloria; Pineda, Omar; Varela Izquierdo, Noel; Diaz Martínez, Jorge Luis (Corporación Universidad de la CostaRetracted, 2020-07-19)
      The study analyzes the bandwidth available in a segment of route in the VANET network, since this value directly affects sporadic cloud computing. For this purpose, the bandwidth was tested on a highly complex urban scenario, ...
    • 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 ...
    • Effect of Vitamin A, Zinc and multivitamin supplementation on the nutritional status and retinol serum values in school-age children 

      Carrero, Carmen; Leal, Jorymar Y.; Ortega, Pablo A.; Parody, Alexander; Montilla, Marilyn; Sierra, Leandro; Viloria Silva, Amelec Jesus; Crissien Borrero, Tito José; Varela Izquierdo, Noel (Lecture Notes in Computer Science, 2018)
      Micronutrient deficiency or “Hidden Hunger” represents the most widespread form of malnutrition in the world. The aim of this study was to evaluate the effect of supplementation with Vitamin A as a single dose, Zinc and ...