Carlos Carrillo

According to our database, Carlos Carrillo authored at least 15 papers between 2016 and 2026.

Collaborative distances:

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

2026

Optimizing canopy cover evaluation: A machine learning approach using LiDAR data.

Pau Ventura, Carlos Carrillo, Alejandro Donaire, Eric Sánchez

Environ. Model. Softw., 2026

2025

Realistic wildfire growth simulations applying a differentiable parametric representation of the fire front based on Composite Bézier curves.

Irene González, Carlos Carrillo, Ana Cortés, Tomàs Margalef

J. Comput. Sci., 2025

Edge computing driven forest fire spread simulation: An energy-aware study.

Carlos Carrillo, Tomàs Margalef, Antonio Espinosa, Ana Cortés

J. Comput. Sci., 2025

Edge Computing vs. Cloud Computing for Wildland Fire Simulation: A Comparative Analysis Using CUDA-Accelerated FARSITE Models.

Yonathan Canales, Carlos Carrillo, Felipe Tirado

Proceedings of the 44th International Conference of the Chilean Computer Science Society, 2025

Remote Sensing AI for Crop Planting in Wildfire Fuel Mapping.

Paula Sánchez, Irene González, Carlos Carrillo, Ana Cortés, Remo Suppi

Proceedings of the Computational Science - ICCS 2025, 2025

2024

Cloud-based urgent computing for forest fire spread prediction.

Edigley Fraga, Ana Cortés, Tomàs Margalef, Porfidio Hernández, Carlos Carrillo

Environ. Model. Softw., 2024

Enhancing the Realism of Wildfire Simulation Using Composite Bézier Curves.

Irene González, Carlos Carrillo, Ana Cortés, Tomàs Margalef

Proceedings of the Computational Science - ICCS 2024, 2024

2023

A new paradigm for forest fire spread prediction: Faster decisions at high resolution.

Irene González, Carlos Carrillo, Ana Cortés, Antonio Espinosa, Tomàs Margalef

Proceedings of the 52nd International Conference on Parallel Processing Workshops, 2023

Impact of Mixed-Precision: A Way to Accelerate Data-Driven Forest Fire Spread Systems.

Carlos Carrillo, Tomàs Margalef, Antonio Espinosa, Ana Cortés

Proceedings of the Computational Science - ICCS 2023, 2023

Automatic Green Land-Use Generator for Urban Areas.

Veronica Vidal, Carlos Carrillo, Ana Cortés, Alba Badia, Gara Villalba

Proceedings of the 19th IEEE International Conference on e-Science, 2023

2022

Re-Engineering Forest Fire Spread Simulator to Consider Urgent and Green Computing.

Carlos Carrillo Jordan

PhD thesis, 2022

2019

Accelerating Wild Fire Simulator Using GPU.

Carlos Carrillo, Tomàs Margalef, Antonio Espinosa, Ana Cortés

Proceedings of the Computational Science - ICCS 2019, 2019

2018

Relevance of Error Function in Input Parameter Calibration in a Coupled Wind Field Model-Forest Fire Spread Simulator.

Carlos Carrillo, Ana Cortés, Tomàs Margalef, Antonio Espinosa, Andrés Cencerrado

Proceedings of the 2018 International Conference on High Performance Computing & Simulation, 2018

Reducing Data Uncertainty in Forest Fire Spread Prediction: A Matter of Error Function Assessment.

Carlos Carrillo, Ana Cortés, Tomàs Margalef, Antonio Espinosa, Andrés Cencerrado

Proceedings of the Computational Science - ICCS 2018, 2018

2016

Error Function Impact in Dynamic Data-Driven Framework Applied to Forest Fire Spread Prediction.

Carlos Carrillo, Tomàs Artés, Ana Cortés, Tomàs Margalef

Proceedings of the International Conference on Computational Science 2016, 2016