• 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 ...
    • Methodology for obtaining a predictive model academic performance of students from first partial note and percentage of absence 

      Viloria Silva, Amelec Jesus; Parody, Alexander (Indian Journal of Science and Technology, 2016)
      Objectives: This study presents the methodology for a model of multiple linear regression to assess the impact of the first partial grade and the percentage of non - attendance in the final grade students. Methods/Statistical ...
    • Modelo para la predicción de la deserción de estudiantes de pregrado, basado en técnicas de minería de datos 

      Camargo García, Aníbal José (Corporación Universidad de la CostaMaestría en Ingeniería, 2020)
      The main objective of this research project is to create a model for the prediction of undergraduate student desertion at the Universidad de la Costa - CUC, based on the analysis of different socioeconomic and academic ...
    • Prediction of mandibular morphology through artificial neural networks 

      Viloria, Amelec; Mendinueta, Martha; Borrero, Luz Adriana; Pineda, Omar (Corporación Universidad de la Costa, 2020)
      Prediction models are used for knowing the behavior of highly related complex data. The prediction of morphological structures, and especially the mandible from cranio-maxillary variables, has clinical and investigative ...
    • Solar radiation prediction for dimensioning photovoltaic systems using artificial neural networks 

      Noriega Angarita, Eliana Maria; Sousa Santos, Vladimir; Quintero Duran, Michell Josep; Gil Arrieta, Cesar Javier (International Journal of Engineering and Technology, 2016)
      This paper presents a prediction model of solar radiation for dimensioning photovoltaic generation systems in the Atlantic Coast of Colombia, using artificial neural networks. As a case of study is presented the municipality ...
    • Using Data-mining Techniques for the prediction of the severity of road crashes in Cartagena, Colombia 

      Ospina Mateus, Holman; Quintana Jiménez, Leonardo Augusto; López-Valdés, Francisco José; Morales Londoño, Natalie; Salas-Navarro, Katherinne (Universidad de la Costa, 2019)
      Objective: Analyze the road crashes in Cartagena (Colombia) and the factors associated with the collision and severity. The aim is to establish a set of rules for defining countermeasures to improve road safety. Methods: ...