Francklin Rivas

According to our database, Francklin Rivas authored at least 18 papers between 2005 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Synthetic generated data for intelligent corrosion classification in oil and gas pipelines.

Leo Thomas Ramos, Edmundo Casas, Francklin Rivas Echeverría

Intell. Syst. Appl., 2025

2024

Computer vision for wildfire detection: a critical brief review.

Leo Thomas Ramos, Edmundo Casas, Eduardo Bendek, Cristian Romero, Francklin Rivas Echeverría

Multim. Tools Appl., October, 2024

SustainMeter: A knowledge-based system for assessing sustainability of SMEs in the fashion industry.

Leo Thomas Ramos, Mike Bermeo, Andrés Quelal, Anthony Crespo, Gabriela Cajamarca, Francklin Rivas Echeverría

SoftwareX, February, 2024

A comparative study of YOLOv5 and YOLOv8 for corrosion segmentation tasks in metal surfaces.

Edmundo Casas, Leo Thomas Ramos, Cristian Romero, Francklin Rivas Echeverría

Array, 2024

A Study of ConvNeXt Architectures for Enhanced Image Captioning.

Leo Thomas Ramos, Edmundo Casas, Cristian Romero, Francklin Rivas Echeverría, Manuel Eugenio Morocho Cayamcela

IEEE Access, 2024

An End-to-End Platform for Managing Third-Party Risks in Oil Pipelines.

Edmundo Casas, Leo Thomas Ramos, Cristian Romero, Francklin Rivas Echeverría, Dunetchka Cerpa, Pablo Hernández, Gonzalo Orellana, José Luis Ibarra, Carlos Rosas Albrecht, Natalia Cuevas, Juan Carlos Gallardo Hurtado

IEEE Access, 2024

Development of a Wildfire Detection and Monitoring Solution Using Computer Vision.

Leo Thomas Ramos, Edmundo Casas, Eduardo Bendek, Cristian Romero, Francklin Rivas Echeverría, Dunetchka Cerpa, Pablo Hernández, Gonzalo Orellana, José Luis Ibarra, Carlos Rosas Albrecht, Natalia Cuevas, Juan Carlos Gallardo Hurtado

Proceedings of the 8th IEEE Forum on Research and Technologies for Society and Industry Innovation, 2024

2023

EngineFaultDB: A Novel Dataset for Automotive Engine Fault Classification and Baseline Results.

Mary Vergara, Leo Thomas Ramos, Néstor Diego Rivera-Campoverde, Francklin Rivas Echeverría

IEEE Access, 2023

Assessing the Effectiveness of YOLO Architectures for Smoke and Wildfire Detection.

Edmundo Casas, Leo Thomas Ramos, Eduardo Bendek, Francklin Rivas Echeverría

IEEE Access, 2023

2021

Machine learning models for the prediction of the SEIRD variables for the COVID-19 pandemic based on a deep dependence analysis of variables.

Yullis Quintero, Douglas Ardila, Edgar Camargo, Francklin Rivas, José Aguilar

Comput. Biol. Medicine, 2021

2018

Heath Monitoring of Capacitors and Supercapacitors Using the Neo-Fuzzy Neural Approach.

Abdenour Soualhi, Maawad Makdessi, Ronan German, Francklin Rivas Echeverría, Hubert Razik, Ali Sari, Pascal Venet, Guy Clerc

IEEE Trans. Ind. Informatics, 2018

Knowledge Based of an Expert System Using the Horizontal Analysis for Financial Statements of National, Private TV Companies in Ecuador.

Ana Cecilia Vaca-Tapia, Francisco Campos-Freire, Francklin Iván Rivas-Echeverría, Johnny Alejandro Aragón-Puetate

Proceedings of the International Conference on Information Technology & Systems, 2018

Design of a Recommender System for Intelligent Classrooms Based on Multiagent Systems.

Dulce Rivero-Albarrán, Francklin Rivas Echeverría, Laura Guerra, Brian Arellano, Stalin Arciniegas

Proceedings of the International Conference on Information Technology & Systems, 2018

2013

Interpretative Ontology: Supervision and Diagnostic.

Taniana Rodriguez, José Aguilar, Addison Ríos, Francklin Rivas, Audine Subias

Proceedings of the 2013 XXXIX Latin American Computing Conference (CLEI), 2013

2011

Capa Semántica para la Gerencia Integrada de Producción basada en Ontologías.

César Bravo, José Aguilar-Castro, Addison Ríos, Joseph Aguilar-Martin, Francklin Rivas

Rev. Colomb. de Computación, 2011

2009

A Multi-Agent System for the Management of Abnormal Situations in an Artificially Gas-Lifted Well.

José Aguilar-Castro, Frank Prato, César Bravo, Francklin Rivas

Appl. Artif. Intell., 2009

2006

Application of expert systems in medicine.

Francklin Rivas Echeverría, Carlos Rivas Echeverría

Proceedings of the Artificial Intelligence Research and Development, 2006

2005

A Multiagent Model for Intelligent Distributed Control Systems.

José Aguilar, Mariela Cerrada, Gloria Mousalli, Franklin Rivas, Francisco Hidrobo

Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005