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Model for predicting academic performance through artificial intelligence
(Corporación Universidad de la Costa, 2020)
During the transit of students in the acquisition of competencies that allow them a good future development of their profession, they face the constant challenge of overcoming academic subjects. According to the learning ...
Neural networks for tea leaf classification
(Journal of Physics: Conference Series, 2020)
The process of classification of the raw material, is one of the most important procedures in any tea dryer, being responsible for ensuring a good quality of the final product. Currently, this process in most tea processing ...
Predicting short-term electricity demand through artificial neural network
(Corporación Universidad de la Costa, 2020)
Forecasting the consumption of electric power on a daily basis allows considerable money savings for the supplying companies, by reducing the expenses in generation and operation. Therefore, the cost of forecasting errors ...
Prediction of the yield of grains through artificial intelligence
(Corporación Universidad de la Costa, 2021)
Grass turns out to be an appropriate food for cattle, mainly in tropical climate countries such as Latin American countries. This is due to the high number of species that can be used, the possibility of growing them ...
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 ...
Neural networks for the web services classification
(Journal of Physics: Conference Series, 2020)
This article introduces a n-gram-based approach to automatic classification of Web services using a multilayer perceptron-type artificial neural network. Web services contain information that is useful for achieving a ...
Artificial techniques applied to the improvement of the previous signals in the power amplifiers
(Corporación Universidad de la Costa, 2020)
A rapid evolution in electronic systems has been experienced in recent years, and one of the fields where this development has been notorious is the telecommunication systems in which users demand more and better services ...
Model for predicting academic performance in virtual courses through supervised learning
(Corporación Universidad de la Costa, 2021)
Since virtual courses are asynchronous and non-presential environments, the following of student tasks can be a hard work. Virtual Education and Learning Environments (VELE) often provide tools for this purpose (Zaharia ...
Determination of contents based on learning styles through artificial intelligence
(Universidad de la Costa, 2020-03-05)
The study presents the development of a platform for structuring adaptive courses based on active, reflexive, theoretical and pragmatic learning styles using artificial intelligence techniques. To this end, the following ...
Prediction of the efficiency for decision making in the agricultural sector through artificial intelligence
(Corporación Universidad de la Costa, 2021)
Agriculture plays an important role in Latin American countries where the demand for provisions to reduce hunger and poverty represents a significant priority in order to improve the development and quality of life in the ...