Documentos de Remigio Hurtado Ortiz | REDI

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Publisher: "2022 IEEE International Autumn Meeting on Power, Electronics and Computing, ROPEC 2022"

Subtipo de publicación

Conference Object(4)

Área temáticas

Enfermedades(2)

Métodos informáticos especiales(2)

Ciencias de la computación(1)

Funcionamiento de bibliotecas y archivos(1)

Área de conocimiento

Aprendizaje automático(3)

Ciencias de la computación(2)

Análisis de datos(1)

Objetivos de Desarrollo Sostenible

ODS 17: Alianzas para lograr los objetivos(2)

ODS 9: Industria, innovación e infraestructura(2)

ODS 3: Salud y bienestar(1)

ODS 8: Trabajo decente y crecimiento económico(1)

Año de Publicación

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Palabras Claves

Artificial Neural Network(1)

K-Nearest-Neighbor(1)

Machine learning(1)

A data analytics method based on data science and machine learning for bank risk prediction in credit applications for financial institutions

Conference Object

Abstract: Nowadays, banks grant credits so that customers can acquire a good or service, start or improve a bu

Palabras claves:

Edisson Salinas Jara, Johnny Maisincho Panjon, Ortiz J.H., Remigio Hurtado Ortiz

An analysis method for predicting breast cancer using data science processes and machine learning

Conference Object

Abstract: In two decades, the number of people with breast cancer has almost doubled: in 2000, about 10 millio

Palabras claves:

John Xavier Farez Villa, Juan Jose Cordova Calle, Remigio Hurtado Ortiz

Data Analysis Architecture using Techniques of Machine Learning for the Prediction of the Quality of Blood Fonations against the Hepatitis C Virus

Conference Object

Abstract: Nowadays the WHO (World health Organization) has difficulties improving the access to safe blood. Th

Palabras claves:

Artificial Neural Network, Blood Donor, data science, HEPATITIS C, K-Nearest-Neighbor, Machine learning, neural network, Oversizing, Principal Component Analysis, random forest, Support Vector Machine

Denys Dutan-Sanchez, Paul Idrovo, Paul Idrovo-Berrezueta, Remigio Hurtado Ortiz, Vladimir Robles-Bykbaev

Design and development of an intent-based intelligent network using machine learning for QoS provisioning

Conference Object

Abstract: The demand for bandwidth is currently a challenge for the use of the Internet that companies require

Palabras claves:

Juan Daniel Amay Marca, Marco Vinicio Barzallo Huanga, Remigio Hurtado Ortiz