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Forest Fire Evolution Prediction Using a Hybrid Intelligent System.

, , , , and . BASYS, volume 322 of IFIP Advances in Information and Communication Technology, page 64-71. Springer, (2010)

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Forest Fires Prediction by an Organization Based System., , and . PAAMS, volume 70 of Advances in Intelligent and Soft Computing, page 135-144. Springer, (2010)A Survey of Distributed and Data Intensive CBR Systems.. DCAI, volume 50 of Advances in Soft Computing, page 582-586. Springer, (2008)A Contingency Response Multi-agent System for Oil Spills., , , and . PAAMS, volume 55 of Advances in Intelligent and Soft Computing, page 274-283. Springer, (2009)A Case-Based Reasoning System to Forecast the Presence Of Oil Slicks., , , and . IADIS European Conf. Data Mining, page 3-10. IADIS, (2008)Predicting the Presence of Oil Slicks After an Oil Spill., and . ECCBR, volume 5239 of Lecture Notes in Computer Science, page 573-586. Springer, (2008)Forest Fire Evolution Prediction Using a Hybrid Intelligent System., , , , and . BASYS, volume 322 of IFIP Advances in Information and Communication Technology, page 64-71. Springer, (2010)A WeVoS-CBR Approach to Oil Spill Problem., , , and . HAIS, volume 5271 of Lecture Notes in Computer Science, page 378-384. Springer, (2008)Isotropic Image Analysis for Improving CBR Forecasting., , , and . J. Math. Imaging Vis., 42 (2-3): 212-224 (2012)Solving the Oil Spill Problem Using a Combination of CBR and a Summarization of SOM Ensembles., , and . DCAI, volume 50 of Advances in Soft Computing, page 658-662. Springer, (2008)On the improvement of Knowledge Management status through case-based reasoning in a hybrid approach., , , and . HIS, page 67-72. IEEE, (2010)