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Comparative Analysis of Performance and Quality of Prediction Between ESS and ESS-IM

  • Published:2015-06 Issue: Volume:314 Page:45-60
  • ISSN:1571-0661
  • Container-title:Electronic Notes in Theoretical Computer Science
  • language:en
  • Short-container-title:Electronic Notes in Theoretical Computer Science

Author:

Méndez-Garabetti Miguel,Bianchini Germán,Tardivo María Laura,Caymes-Scutari Paola

Publisher

Elsevier BV

Subject

General Computer Science,Theoretical Computer Science

Reference26 articles.

1. Parallelism and evolutionary algorithms;Alba;IEEE Transactions on Evolutionary Computation,2002

2. Calibration of the parameters of ESS system for Forest Fire prediction;Bianchini,2013

3. Uncertainty Reduction Method Based on Statitics and Parallel Evolutionary Algorithms;Bianchini,2011

4. Métodos Basados en Computación de Alto Rendimiento para Predecir el Comportamiento de Incendios Forestales;Bianchini,2011

5. Improved prediction methods for Wildfires using High Performance Computing: A comparison;Bianchini;Lecture Notes in Computer Science,2006

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1. Evolutionary Statistical System Based on Novelty Search: A Parallel Metaheuristic for Uncertainty Reduction Applied to Wildfire Spread Prediction;Algorithms;2022-12-15

2. Efficient Cloud-Based Calibration of Input Data for Forest Fire Spread Prediction;2022 IEEE 18th International Conference on e-Science (e-Science);2022-10

3. A Parallel Novelty Search Metaheuristic Applied to a Wildfire Prediction System;2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW);2022-05

4. Cloud-Based Urgent Computing for Forest Fire Spread Prediction under Data Uncertainties;2021 IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC);2021-12

5. Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction;Lecture Notes in Computer Science;2020
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