Mostrando 4 resultados de: 4
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Subtipo de publicación
Conference Object(4)
Área temáticas
Ciencias de la computación(2)
Funcionamiento de bibliotecas y archivos(2)
Arthropoda(1)
El proceso político(1)
Interacción social(1)
Área de conocimiento
Aprendizaje automático(2)
Ciencias de la computación(2)
Ciencia política(1)
Software(1)
Visión por computadora(1)
Objetivos de Desarrollo Sostenible
ODS 17: Alianzas para lograr los objetivos(4)
ODS 9: Industria, innovación e infraestructura(3)
ODS 10: Reducción de las desigualdades(1)
ODS 15: Vida de ecosistemas terrestres(1)
ODS 16: Paz, justicia e instituciones sólidas(1)
Año de Publicación
2021(4)
Origen
scopus(4)
Automatic Manifesto Comparison using NLP Techniques and the Manifesto Project Domains-Case Study: 2021 Ecuadorian Presidential Elections
Conference ObjectAbstract: Democracies rely on the capability of a country to conduct fair elections. And, fair elections relyPalabras claves:doc2vec, ELECTIONS, Manifesto Project, Natural Language processing, Political manifest, TEXT MININGAutores:Daniel Riofrio, Diego S. Benitez, Medina-Perez P., Mike Pinta, Noel Perez, Ricardo Flores MoyanoFuentes:scopusBeetleID: An Android Solution to Detect Ladybird Beetles
Conference ObjectAbstract: In this work, an Android mobile application named BeetleID was developed to detect ladybird beetlesPalabras claves:Android Application, Coccinelidae species detection, Deep learning models, image pre-processingAutores:Daniel Riofrio, Diego F. Cisneros-Hebkp_redia, Diego S. Benitez, Emilia Peñaherrera-Romero, Giovanni M. Ramón-Cabrera, Noel Perez, Ricardo MurielFuentes:scopusPath Planning Optimization in SDN Using Machine Learning Techniques
Conference ObjectAbstract: Internet, mobile networks, and mobile devices have contributed to the massive development of telematPalabras claves:ANN, Knn, PATH PLANNING, SDN, SVMAutores:Daniel Riofrio, Diego S. Benitez, Marlon Rodríguez, Noel Perez, Ricardo Flores MoyanoFuentes: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