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Management model for the logistics and competitiveness of SMEs in the city of Barranquilla
(Universidad de la Costa, 2019)
In Colombia, small and medium-sized enterprises (SMEs) are the most powerful engines of economic development, since they generate a high volume of jobs in the national territory, while diversifying productive, commercial, ...
The Goal Programming as a Tool for Measuring the Sustainability of Agricultural Production Chains of Rice
(International Symposium on Neural Networks, 2019-06-26)
Agricultural activity is characterized by an intensive use of capital and a considerable dependence on external financing. Access to credit is often limited by the scarcity of resources and lack of guarantees, seriously ...
A web application to optimization of transport in military operations
(Corporación Universidad de la Costa, 2019)
Transport is an operation necessary to carry out any logistical mission, especially in times of war, peace or natural disasters. The distribution of the necessary demanded resources is done from a military unit, to the ...
Competitions of multi-agent systems for teaching artificial intelligence
(Universidad de la Costa, 2019)
This paper presents an approach based on competitions of multiagent systems as the basis for teaching advanced topics in Artificial Intelligence.
The method was applied in the Cognitive Robotics course with students of ...
U-Control Chart Based Differential Evolution Clustering for Determining the Number of Cluster in k-Means
(International Conference on Green, Pervasive, and Cloud Computing, 2019-04-27)
The automatic clustering differential evolution (ACDE) is one of the clustering methods that are able to determine the cluster number automatically. However, ACDE still makes use of the manual strategy to determine k ...
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 ...
Multi-dimension Tensor Factorization Collaborative Filtering Recommendation for Academic Profiles
(International Symposium on Neural Networks, 2019-06-26)
The choice of academic itineraries and/or optional subjects to attend is not usually an easy decision since, in most cases, students lack the information, maturity, and knowledge required to make right decisions. This paper ...
Optimization of factors that influence the “settlement” of the concrete in mixer transport
(Universidad de la Costa, 2019)
The research seeks to determine the relationship of the settlement as a parameter of the quality of the concrete, with the volume and pressure of the manometer of the concrete mixer truck, by means of a multiple linear ...
Information consumption patterns from big data
(Universidad de la Costa, 2019)
Virtual social networks imply an important opportunity to generate friendlier communication bridges between students, teachers and other actors related to the educational field. In this sense, our study presents an ...
An Early Warning Method for Basic Commodities Price Based on Artificial Neural Networks
(International Symposium on Neural Networks, 2019-06-26)
The prices of products belonging to the basic family basket are an important component in the income of producers and consumer spending; its excessive variations constitute a source of uncertainty and risk that affects ...