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Geosimulation as a tool for the prevention of traffic accidents
(Corporación Universidad de la Costa, 2021)
Traffic accidents represent a never-ending tragedy, and according to the World Health Organization (2018), 1.33 million people die in the world every year [1]. Most efforts in modeling phenomena of a dynamic nature have ...
Classification of digitized documents applying neural networks
(Universidad de la Costa, 2020-03-05)
The exponential increase of the information available in digital format during the last years and the expectations of future growth make it necessary for the organization of information in order to improve the search and ...
Demand forecasting method using artificial neural networks
(Universidad de la Costa, 2019)
Based on a forecast, the decision maker can determine the capacity required to meet a certain forecast demand, as well as carry out in advance the balance of capacities in order to avoid underusing or bottlenecks. This ...
Bayesian classifier applied to higher education dropout
(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 ...
Effect on the demand and stock returns: cross-sectional of Big Data and time-series analysis
(Universidad de la Costa, 2019-11-05)
For reducing the degree of uncertainty caused by constant change in the environment, large, medium or small, private or public organizations must support their decisions in something more than experience or intuition; they ...
The scheduling algorithms for two-stage grid models
(Corporación Universidad de la Costa, 2021)
This paper deals with the scheduling of parallel works in a two-stage hierarchical grid. In this configuration, one of the great challenges is to assign the tasks in order to allow an efficient use of resources, while ...
Hybrid cloud computing architecture based on open source technology
(Universidad de la Costa, 2019)
The advance of technologies such as distributed computing, Internetand grid computing, have enabled Cloud Computing to become part of a new model of computing and business. Cloud Computing is transforming the traditional ...
Inspection process for dimensioning through images and fuzzy logic
(Corporación Universidad de la Costa, 2020)
This paper presents a hybrid methodology based on a type 1 fuzzy model in singleton version using a 2k factorial design that optimizes the model of the expert system and serves to perform in-line inspection. The factorial ...
Factors that describe the use of digital devices in Latin American universities
(Corporación Universidad de la Costa, 2020)
Mobile digital devices are at the same time a tool for social interaction, an individual learning resource and can be a valuable contribution in the context of higher education to develop and promote new teaching and ...
Analysis of crowd behavior through pattern virtualization
(Corporación Universidad de la Costa, 2020)
The study of the concentration of individuals in public places such as squares, shopping malls, parks, gardens, etc., is an open study field in the different disciplines of science, that leads to the need of having systems ...