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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)

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Organization based system for oceanographic monitoring., , , and . FUSION, page 968-975. IEEE, (2009)MACSDE: Multi-Agent Contingency Response System for Dynamic Environments., , , , and . HAIS, volume 5572 of Lecture Notes in Computer Science, page 50-59. Springer, (2009)A Survey of Distributed and Data Intensive CBR Systems.. DCAI, volume 50 of Advances in Soft Computing, page 582-586. Springer, (2008)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 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)A WeVoS-CBR Approach to Oil Spill Problem., , , and . HAIS, volume 5271 of Lecture Notes in Computer Science, page 378-384. 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)Isotropic Image Analysis for Improving CBR Forecasting., , , and . J. Math. Imaging Vis., 42 (2-3): 212-224 (2012)