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Simulation model of internal transportation at a container terminal to determine the number of vehicles required
(Corporación Universidad de la Costa, 2020-01)
The operating efficiency of a container terminal is largely determined by the number of vehicles available for internal transportation. This article presents a discrete event simulation model, combined with scenario analysis, ...
Intelligent and Distributed Data Warehouse for Student’s Academic Performance Analysis
(International Symposium on Neural Networks, 2019-06-26)
In the academic world, a large amount of data is handled each day, ranging from student’s assessments to their socio-economic data. In order to analyze this historical information, an interesting alternative is to implement ...
Engineering teaching: simulation, industry 4.0 and big data
(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 ...
Classification of mitochondrial network images associated with the study of breast cancer
(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 ...
Algorithm for Detecting Polarity of Opinions in University Students Comments on Their Teachers Performance
(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 ...
Implementation of an e.r.p. Inventory module in a small colombian metalworking company
(Corporación Universidad de la Costa, 2020)
This paper aims to analyze the effect of implementing an inventory module of ERP Openbravo for the reduction of information flow time and customer response time, in a Colombian metalworking company. The processes structure ...
Indicators for smart cities: tax illicit analysis through data mining
(Corporación Universidad de la Costa, 2021)
The anomalies in the data coexist in the databases and in the non-traditional data that can be accessed and produced by a tax administration, whether these data are of internal or external origin. The analysis of certain ...
Design and implementation of a system to determine property tax through the processing and analysis of satellite images
(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 ...
Prediction of academic dropout in university students using data mining: Engineering case
(Corporación Universidad de la Costa, 2020)
Student dropout is considered an important indicator for measuring social mobility and reflecting the social contribution that universities offer. In economic terms, there is evidence that students attribute their decision ...
Algorithms for crime prediction in smart cities through data mining
(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 ...