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Bayesian networks applied to climate conditions inside a naturally ventilated greenhouse
(Corporación Universidad de la Costa, 2020)
The prediction of gradients in a naturally ventilated greenhouse is difficult to achieve, due to the inherently stochastic nature of the airflow. Bayesian networks are numerical uncertainty techniques that can be used to ...
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 ...
Vehicle flow prediction through probabilistic modeling
(Corporación Universidad de la Costa, 2020)
Within the area of wireless and mobile communications, ad hoc vehicular networks have generated the interest of different organizations, which has generated a topic of study and analysis for the increase of applications, ...
Morphometric characteristics in discrete domain for brain tumor recognition
(Corporación Universidad de la Costa, 2020)
World Health Organization (WHO) classifies brain tumors by their level of aggressiveness into four grades depending on their aggressiveness or malignancy as I to IV respectively [1]. From this classification of primary ...
Management system for optimizing public transport networks: GPS record
(Corporación Universidad de la Costa, 2020-07-19)
As cities continue to grow in size and population, the design of public transport networks becomes complicated, given the wide diversity in the origins and destinations of users [1], as well as the saturation of vehicle ...
Factors of staff turnover in textile businesses in Colombia
(Corporación Universidad de la Costa, 2020)
The Colombian textile sector, which represents 3% of the gross domestic product, has staff turnover problems. When a worker quits, an immediate replacement is needed in order to not affect productivity. Companies often ...
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 ...
Improving the effectiveness of energy savings measures at companies by means of a new baseline adjustment strategy
(Universidad de la Costa, 2019)
This paper discusses a strategy for establishing an energy consumption baseline for the effects of defining and applying new strategies to improve the effectiveness of energy savings measures. Through this analysis, the ...
Integration of Data Mining Classification Techniques and Ensemble Learning for Predicting the Type of Breast Cancer Recurrence
(International Conference on Green, Pervasive, and Cloud Computing, 2019-04-27)
Conservative surgery plus radiotherapy is an alternative to radical mastectomy in the early stages of breast cancer, presenting equivalent survival rates. Data mining facilitates to manage the data and provide the useful ...