Now showing items 1-20 of 64

    • A method to rationalize the product portfolio in retail stores 

      Coronado-Hernandez, Jairo R.; Ospina Mateus, Holman; Baron-Villamizar, Javier; Vidal, Lucelys; Piñeres Castillo, Aurora Patricia; Rojas-Millán, Rafael H.; Silva, Jesús (Corporación Universidad de la Costa, 2020)
      Retail store operations face a variety of challenges and complexities. Determining the best assortment is the main problem in the retail store. This re-search presents a practical methodology for the analysis of products ...
    • A web application to optimization of transport in military operations 

      Aguilar, Hardy; González, Patricio; Molina, Matías; Quila, Daniela; Gustavo, Gatica; Seijo-Villamizar, Javier; Silva, Jesús (Corporación Universidad de la Costa, 2019)
      Transport is an operation necessary to carry out any logistical mission, especially in times of war, peace or natural disasters. The distribution of the necessary demanded resources is done from a military unit, to the ...
    • Algorithm for Detecting Polarity of Opinions in University Students Comments on Their Teachers Performance 

      Silva, Jesús; Sanchez Montero, Edgardo Rafael; Cabrera, Danelys; Chacon, Ramon; Vargas, Martin; Pineda Lezama, Omar Bonerge; Orellano, Nataly (Corporación Universidad de la Costa, 2021)
      Sentiment analysis is a text classification task within the area of natural language processing whose objective is to detect the polarity (positive, negative or neutral) of an opinion given by a certain user. Knowing the ...
    • Algorithms for crime prediction in smart cities through data mining 

      Silva, Jesús; Romero Marin, Ligia Cielo; Jiménez González, Roberto; Larios, Omar; Barrantes, Fanny; Pineda, Omar; Manotas, Alberto (Corporación Universidad de la Costa, 2020)
      The concentration of police resources in conflict zones contributes to the reduction of crime in the region and the optimization of those resources. This paper presents the use of regression techniques to predict the number ...
    • An early warning method for agricultural products price spike based on artificial neural networks prediction 

      Silva, Jesús; Gaitán-Angulo, Mercedes; Romero Borré, Jenny; Lozano Ayarza, Liliana Patricia; Pineda Lezama, Omar Bonerge; Martínez Galán, Zuleima del Carmen; Navarro Beltran, Jorge (Universidad de la Costa, 2020)
      In general, the agricultural producing sector is affected by the diversity in supply, mostly from small companies, in addition to the rigidity of the demand, the territorial dispersion, the seasonality or the generation ...
    • An Early Warning Method for Basic Commodities Price Based on Artificial Neural Networks 

      Silva, Jesús; Varela, Noel; Martínez Caraballo, Hugo; García Guiliany, Jesús; Cabas Vásquez, Luis Carlos; Navarro Beltrán, Jorge; León Castro, Nadia (International Symposium on Neural Networks, 2019-06-26)
      The prices of products belonging to the basic family basket are an important component in the income of producers and consumer spending; its excessive variations constitute a source of uncertainty and risk that affects ...
    • Analysis of air quality data in the city of Bogotá through clustering techniques 

      Silva, Jesús; Londoño, Luz Adriana; Varela, Noel; Pineda Lezama, Omar Bonerge; Lozano Ayarza, Liliana Patricia; MOJICA HERAZO, JULIO CESAR (Corporación Universidad de la Costa, 2020)
      Climate change is one of the problems facing society today because of its impacts on the health of living beings. That is why the authorities need tools that provide them with the information necessary to make decisions ...
    • Applying a business intelligence system in a big data context: production companies 

      Silva, Jesús; Gaitán, Mercedes; Varela, Noel; MALDONADO PEREZ, DOYREG; Pineda Lezama, Omar Bonerge (Universidad de la Costa, 2020-01-07)
      Industry 4.0 promotes automation through computer systems of the manufacturing industry and its objective is the Smart Factory. Its development is considered a key factor in the strategic positioning not only of companies, ...
    • 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 ...
    • Big data and automatic detection of topics: social network texts 

      Silva, Jesús; Hernandez Palma, Hugo Gaspar; Niebles Núñez, William; Ruiz Lázaro, Alex; Varela, Noel (Journal of Physics: Conference Series, 2020)
      This paper proposes the analysis of the influence of terms that express feelings in the automatic detection of topics in social networks. This proposal uses an ontology-based methodology which incorporates the ability to ...
    • Classification of academic events from their textual description 

      Silva, Jesús; Maria Santodomingo, Nicolas Elias; Romero, Ligia; Jorge, Marisol; Herrera, Maritza; Pineda Lezama, Omar Bonerge; Javier Echeverry, Francisco (Corporación Universidad de la Costa, 2021)
      The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions and emoticons to help the preprocessing of texts published in social networks. The use of these dictionaries is intended to improve ...
    • 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 ...
    • Classification, identification, and analysis of events on twitter through data mining 

      Silva, Jesús; Higa, Yuki; Cera Visbal, Juan Manuel; Cabrera, Danelys; Senior Naveda, Alexa; Flores, Yasmin; Pineda Lezama, Omar Bonerge (Corporación Universidad de la Costa, 2021)
      Due to its popularity, Twitter is currently one of the major players in the global network, which has established a new form of communication: the microblogging. Twitter has become an essential media network for the ...
    • 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 cancer database 

      Silva, Jesús; Villareal-González, Reynaldo; Varela, Noel; Maco, José; Villón, Martín; Marín–González, Freddy; Pineda Lezama, Omar Bonerge (Corporación Universidad de la Costa, 2021)
      Cancer is not just a disease; it is a set of diseases. Breast cancer is the second most common cancer worldwide after lung cancer, and it represents the most frequent cause of cancer death in women (Thurtle et al. in: PLoS ...
    • 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 for optimizing the negotiation of internet advertising campaigns 

      Silva, Jesús; Vargas, Jesús; Rizzo-Vergara, Dawin; Araya Ugarte, Guillermo Agustín; Rosado, César Enrique; Pineda, Omar; Quintero, Benjamín (Corporación Universidad de la Costa, 2020)
      Web advertising campaigns have the particularity that allow to measure the performance of campaigns based on different metrics, among which are the cost per thousand impressions (CPM-Cost Per mille), cost per click (CPC) ...