Now showing items 1-20 of 56

    • 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 ...
    • 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 ...
    • Classification of authors for a recommendation process integrated to a scientific meta-search engine 

      Viloria, Amelec; Crissien Borrero, Tito José; Pineda, Omar; Pertuz, Luciana; Orellano, Nataly; Vargas Mercado, Carlos (Corporación Universidad de la Costa, 2020)
      The search for scientific production on the web has become a challenge, both in terms of volume, variety and updating speed. It requires tools that help the user to obtain relevant results when executing a query. Within ...
    • 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 ...
    • 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 ...
    • 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) ...
    • 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 ...
    • Data mining and association rules to determine twitter trends 

      Silva, Jesús; Vargas, Jesús; Natteri, Domingo; Flores Marín, Darío Enrique; Pineda, Omar; Ahumada, Bridy; Valero, Lesbia (Corporación Universidad de la Costa, 2020)
      Opinion mining has been widely studied in the last decade due to its great interest in the field of research and countless real-world applications. This research proposes a system that combines association rules, generalization ...
    • 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 and implementation of a system to determine property tax through the processing and analysis of satellite images 

      Silva, Jesús; solano, darwin; Jimenez, Roberto; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      One of the main objectives when implementing metaheuristics in engineering problems, is to solve complex situations and look for feasible solutions within a defined interval by the design dimensions. With the support of ...
    • 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, ...
    • Electric consumption pattern from big data 

      Viloria, Amelec; Hernandez-P, Hugo; Pineda, Omar; Diago Orozco, Victoria (Corporación Universidad de la Costa, 2020)
      From the concept of smart grid, reaching an efficient and reliable network is a task that implies several stages and sub-stages with a defined and specific mission. In this way, the intelligent measurement stage conformed ...
    • Energy balance in a greenhouse: temperature and humidity monitoring 

      Viloria, Amelec; ROSANIA ALTAHONA, TIANA; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      Currently, the world is in a necessary stage of energy transition due to the high rates of pollutants emitted into the environment.The agricultural sector contributes only 7% of these to the environment, a figure that ...
    • Engineering teaching: simulation, industry 4.0 and big data 

      Silva, Jesús; Gaitán, Mercedes; Varela Izquierdo, Noel; Pineda, Omar (Universidad de la Costa, 2020-02-07)
      In the educational field, there is a paradigm shift, where the focus is on the student and his active role in the training process, and where there is a turn that involves moving from content teaching to the training of ...
    • Evolutionary algorithm for content-based image search 

      Silva, Jesús; Varela Izquierdo, Noel; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      Content-based image retrieval systems attempt to provide a means of searching for images in large repositories without using any information other than that contained in the image itself, usually in the form of low-level ...
    • Forecast of operational data in electric energy plants using adaptive algorithm 

      Viloria, Amelec; García Guiliany, Jesús Enrique; Hernandez-P, Hugo; CABAS VASQUEZ, LUIS CARLOS; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      Traditional time series methods offer models whose parameters remain constant over time. However, industrial supply and demand processes require timely decisions based on a dynamic reality. A change in configuration, turning ...