Leo Ramos

According to our database, Leo Ramos authored at least 10 papers between 2023 and 2024.

Collaborative distances:

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

2024

Computer vision for wildfire detection: a critical brief review.

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

Multim. Tools Appl., October, 2024

A Semiautomatic Image Processing-Based Method for Binary Segmentation of Lungs in Computed Tomography Images.

Leo Ramos, Israel Pineda

SN Comput. Sci., August, 2024

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

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

SoftwareX, February, 2024

Multispectral Semantic Segmentation for Land Cover Classification: An Overview.

Leo Ramos, Angel Domingo Sappa

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

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

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

Array, 2024

A Study of ConvNeXt Architectures for Enhanced Image Captioning.

Leo 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 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 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 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 Ramos, Eduardo Bendek, Francklin Rivas Echeverría

IEEE Access, 2023