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Pineda Lezama, Omar Bonerge (4)
Cabrera, Danelys (2)Lamby Barrios, Juan Guillermo (2)amelec, viloria (1)Binda, María Alejandra (1)Díaz-Martinez, Jorge L. (1)Echeverría González, Ana Maria (1)Garcia Cervantes, Evereldys (1)García, Silvia (1)Jiménez-Cabas, Javier (1)... View MoreSubject
Neural networks (4)
Agricultural activity (1)Classification of polliniferous vegetation (1)Decision making (1)Instrumentation and image analysis (1)Irrigation control (1)Micro-greenhouse (1)Moodle (1)Multispectral imaging (1)Precision agriculture (1)... View MoreDate Issued2020 (2)2021 (2)Has File(s)Yes (4)

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Model for predicting academic performance in virtual courses through supervised learning 

Silva, Jesús; Garcia Cervantes, Evereldys; Cabrera, Danelys; García, Silvia; Binda, María Alejandra; Pineda Lezama, Omar Bonerge; Lamby Barrios, Juan Guillermo; Vargas Mercado, Carlos (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 ...
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Inspection process for dimensioning through images and fuzzy logic 

amelec, viloria; Pineda Lezama, Omar Bonerge; Cabrera, Danelys (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 ...
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Prediction of the efficiency for decision making in the agricultural sector through artificial intelligence 

Viloria, Amelec; Ruiz Lázaro, Alex; Echeverría González, Ana Maria; Pineda Lezama, Omar Bonerge; Lamby Barrios, Juan Guillermo; Leon Castro, Nadia (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 ...
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Approach for the classification of polliniferous vegetation using multispectral imaging and neural networks 

Silva, Jesus; Varela, Noel; Díaz-Martinez, Jorge L.; Jiménez-Cabas, Javier; Pineda Lezama, Omar Bonerge (Corporación Universidad de la Costa, 2020)
Beekeeping has suffered a serious deterioration in the regions of the world. The possibility of nectar-polliniferous resources has decreased and, therefore, the feeding of bees, with the consequent decrease in production. ...

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