Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction-Reference-Cited by-同舟云学术

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Early Adaptive Evaluation Scheme for Data-Driven Calibration in Forest Fire Spread Prediction

Published:2020 Issue: Volume: Page:17-30
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Fraga Edigley,Cortés Ana,Cencerrado Andrés,Hernández Porfidio,Margalef Tomàs

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-50433-5_2

Reference23 articles.

1. Abdalhaq, B., Cortés, A., Margalef, T., Luque, E.: Enhancing wildland fire prediction on cluster systems applying evolutionary optimization techniques. Future Gener. Comput. Syst. 21(1), 61–67 (2005)

2. Artés, T., Cencerrado, A., Cortés, A., Margalef, T.: Relieving the effects of uncertainty in forest fire spread prediction by hybrid MPI-OpenMP parallel strategies. Procedia Comput. Sci. 18, 2278–2287 (2013)

3. Artés, T., Cortés, A., Margalef, T.: Large forest fire spread prediction. Procedia Comput. Sci. 80(C), 909–918 (2016)

4. Brun, C., Artés, T., Cencerrado, A., Margalef, T., Cortés, A.: A high performance computing framework for continental-scale forest fire spread prediction. Procedia Comput. Sci. 108, 1712–1721 (2017)

5. Brzoza-Woch, R., Konieczny, M., Kwolek, B., Nawrocki, P., et al.: Holistic approach to urgent computing for flood decision support. Procedia Comput. Sci. 51, 2387–2396 (2015)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cloud-based urgent computing for forest fire spread prediction;Environmental Modelling & Software;2024-06

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. 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

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