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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 ...
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 ...
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 ...
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 ...
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 ...
Virtual reality tool to improve collaborative work in the university context
(Corporación Universidad de la Costa, 2020)
The development of collaborative work skills is an important issue during students’ academic training. In a globalized and competitive world, employers consider this type of skill as a fundamental requirement when hiring ...
Recommendation of collaborative filtering for a technological surveillance model using Multi-Dimension Tensor Factorization
(Procedia Computer Science, 2019)
Technological surveillance in research centers and universities focuses on carrying out a systematic follow-up on the development
of research lines, the research leaders, the possibilities of scientific-technological ...
Data processing for direct marketing through Big Data
(Universidad de la Costa, 2020-01-07)
Traditional marketing performs promotion through various channels such as news in newspapers, radio, etc., but those promotions are aimed at all people, whether or not interested in the product or service being promoted. ...
Method for estimating height in people using multivariable statistics
(Procedia Computer Science, 2019)
Determining the sex, age, height, and race of the subject is the initial phase in the identification of bone remains, as a background, it allows to build a biological profile of an individual, which is the first step for ...
Segmentation process and spectral characteristics in the determination of musical genres
(Corporación Universidad de la Costa, 2020)
Over the past few years there has been a tendency to store audio tracks for later use on CD-DVDs, HDD-SSDs as well as on the internet, which makes it challenging to classify the information either online or offline. For ...