Mostrando 4 resultados de: 4
Filtros aplicados
Publisher
2022 IEEE Colombian Conference on Applications of Computational Intelligence, ColCACI 2022 - Proceedings(1)
2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022(1)
ETCM 2021 - 5th Ecuador Technical Chapters Meeting(1)
Emerging Science Journal(1)
Área temáticas
Ciencias de la computación(3)
Medicina y salud(2)
Enfermedades(1)
Ingeniería y operaciones afines(1)
Tecnología (Ciencias aplicadas)(1)
Origen
scopus(4)
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: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:scopusTowards the Development of an Acne-Scar Risk Assessment Tool Using Deep Learning
Conference ObjectAbstract: Early estimation of the risk of having acne-induced scars is crucial for acne sufferers to ensure apPalabras claves:acne scars, Binary classification, convolutional neural networks, Risk AssessmentAutores:Aguilar J., Camacho M., Diego S. Benitez, Jonathan Guillerno, Jorge A. Estrella Porter, María Isabel Viteri, Noel Perez, Paola YépezFuentes:scopusText-based CAPTCHA Vulnerability Assessment using a Deep Learning-based Solver
Conference ObjectAbstract: The focus of this work is to test the security offered by Text-based CAPTCHAs. We present differentPalabras claves:Computer Vision, convolutional neural networks, deep learning, LeNet, Text-Based CAPTCHAsAutores:Daniel Aguilar, Daniel Riofrio, Diego S. Benitez, Noel Perez, Ricardo Flores MoyanoFuentes:scopus