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2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Proceedings(1)
Emerging Science Journal(1)
Food Science and Technology (Brazil)(1)
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Medicina y salud(2)
Ciencias de la computación(1)
Cultivos de huerta (horticultura)(1)
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Aprendizaje automático(2)
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Ciencias de la computación(1)
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scopus(3)
Analyzing the Effect of Basic Data Augmentation for COVID-19 Detection through a Fractional Factorial Experimental Design
ArticleAbstract: The COVID-19 pandemic has created a worldwide healthcare crisis. Convolutional Neural Networks (CNNsPalabras claves:convolutional neural networks, Covid-19 Detection, design of experiments, Fractional Factorial Design, Image Data Augmentation, Medical Image ClassificationAutores:Bernardo Puente-Mejia, Daniel Riofrio, Danny Navarrete, Diego S. Benitez, Juan Jose Murillo, Maria G. Baldeon Calisto, Mateo Hidalgo Davila, Noel Perez, Ricardo Flores MoyanoFuentes:scopusA new bread formulation based on a partial substitution of soursop residues flour through Mixolab and a process mixture design
ArticleAbstract: Ecuador has one of the highest soursop productions worldwide; however, as this fruit represents a prPalabras claves:Agro-Industrial waste, Bread production, design of experiments, SustainabilityAutores:Annel Saavedra, Danny Navarrete, Dominique Almendariz, Gabriela VernazaFuentes:scopusMeasuring the Impact of Data Augmentation Techniques in Lung Radiograph Classification Using a Fractional Factorial Design: A Covid-19 Case Study
Conference ObjectAbstract: Convolutional neural networks (CNNs) have become dominant in various computer vision tasks, obtaininPalabras claves:convolutional neural networks, Covid-19 Detection, design of experiments, Fractional Factorial Design, Image Data Augmentation, Medical Image ClassificationAutores:Bernardo Puente-Mejia, Daniel Riofrio, Danny Navarrete, Diego S. Benitez, Jose Murillo J., Maria G. Baldeon Calisto, Mateo Hidalgo Davila, Noel Perez, Ricardo Flores MoyanoFuentes:scopus