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Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology(7)
Computational Intelligence and Neuroscience(1)
Dyna (Spain)(1)
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Detection of Covid-19 Through the Analysis of Radiographic Images of the Chest using Convolutional Neural Networks
Conference ObjectAbstract: There are different ways to detect Covid-19, which have emerged so far giving an effective responsePalabras claves:CHEST X-RAYS, Convolutional Networks, covid-19, deep learning, PytorchAutores:Alex Collantes-Farah, Darwin Patiño-Pérez, Freddy Burgos Robalino, Gladys Jacome-Morales, Juan Carlos Cedeño Rodriguez, Miguel A. Molina-Calderón, Víctor Pazmiño MoránFuentes:scopusApplication of Machine Learning for the Pbkp_rediction of Covid19 through Classification Techniques and Supervised Learning
Conference ObjectAbstract: In January 2020, in the city of Wuhan in China, a highly dangerous disease for humans appeared, cataPalabras claves:ALGORITHMS, covid-19, Machine learning, Supervised learningAutores:Darwin Patiño-Pérez, Ericka Reyes Cun, Liliana Sarmiento Barreiro, Miguel Botto-Tobar, Miguel Molina-Calderón, Robalino F.B., Roberto Crespo-MendozaFuentes:scopusDesign of a carbon fiber toroidal canister for hydrogen cars using the finite element method and deep learning
Conference ObjectAbstract: The use of hydrogen in the automotive industry has generated the design of new pressure vessels forPalabras claves:Artificial Neural Network, finite elements, Optimization, Threads, Toroidal ContainerAutores:Alex Leopoldo Luque Letechi, Angel M. Plaza, Darwin Patiño-Pérez, Lorenzo Lorenzo Cevallos Torres, Miguel Botto-Tobar, Saverio E.R., Víctor Pazmiño MoranFuentes:scopusOptimum design of a toroidal pressure vessel of composite material for gas (CNG) powered vehicles
ArticleAbstract: On the present work a design is made, using numerical simulations, with the finite element method (FPalabras claves:finite elements, Numerical simulations, Optimization, Pressure vessel, Threads, Toroidal shapeAutores:Corz-Rodríguez A., Darwin Patiño-PérezFuentes:scopusMachine Learning Models based in Supervised Learning for the Detection of Diabetes Mellitus in the City of Guayaquil
Conference ObjectAbstract: Due to the problems presented by public health centers in the city of Guayaquil in Ecuador, a groupPalabras claves:DIABÉTES, Health Centers, Machine learning, Public Policies, Supervised learningAutores:Alicia Ruíz-Ramírez, Darwin Patiño-Pérez, Game-Mendoza K., Iñiguez-Muñoz F., María Nivela-Cornejo, Omar Otero-Agreda, Vinueza-Burgos G.d.C.Fuentes:scopusIntelligent pbkp_redictive model of BMI in nutritionists' patients using Machine Learning algorithms: Logistic Regression and Neural Networks
Conference ObjectAbstract: The residents of the Bastión Popular Cooperative in Ecuador have health problems due to inadequate fPalabras claves:Dense Neural Networks, Machine learning, Multiclass, Multinomial Logistic Regression, Supervised learningAutores:Christopher Ivan Acosta-Varela, Darwin Patiño-Pérez, Eleanor Alexandra Varela Tapia, Ivan Leonel Acosta-Guzman, Joselyn Denisse Tumbaco-Bravo, Patricia María Marcillo-SánchezFuentes:scopusSegmentation of Medical Image Using Novel Dilated Ghost Deep Learning Model
ArticleAbstract: Image segmentation and computer vision are becoming more important in computer-aided design. A compuPalabras claves:Autores:Ahanger T.A., Darwin Patiño-Pérez, Edwin Guillermo Guaman Redrovan, Gonzalez N., Huerta-Suárez C., Marcelo Zambrano-Vizuete, Miguel Botto-Tobar, Wladimir Paredes-ParadaFuentes:googlescopusValidation of the Pbkp_rediction of Effectiveness of Statistical Time Series Models Using an Artificial Neural Network Model
Conference ObjectAbstract: The objective of this project was to pbkp_redict the number of cases of infections and deaths from cPalabras claves:Artificial Intelligence, covid-19, Neural networks, pbkp_rediction, TIME SERIESAutores:Angélica A. Ochoa-Flores, Darwin Patiño-Pérez, Icaza-Rivera D., Liliana Sarmiento-Barreiro, Lorenzo Cevallos-Torrez, Luis Chóez-Acosta, Miguel Botto-TobarFuentes:scopusSupervised Learning Techniques for the Optimization of Diagnosis Processes of Diabetes in Public Health Centers
Conference ObjectAbstract: One of the problems in public health care services in developing countries such as Ecuador, is the dPalabras claves:DIABÉTES, Health Centers, Optimization, Public Policies, Supervised learningAutores:Ángel García Gutiérrez, Carlos García Gutiérrez, Cujilan Y.C., Darwin Patiño-Pérez, Miguel Botto-Tobar, Mora C.M., Rivera D.I.Fuentes:scopus