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Predicting the hydrological response of a forest after wildfire and soil treatments using an Artificial Neural Network.

, , , , , and . Comput. Electron. Agric., (2020)

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An analytical processing approach to supporting cyber security compliance assessment., , , , , and . SIN, page 46-53. ACM, (2015)Using Artificial Neural Networks to Model Initial Recruitment of Mediterranean Pine Forests., , , , and . IDC, volume 1089 of Studies in Computational Intelligence, page 3-12. Springer, (2022)Generating Trust-Based Recommendations for Social Networks organized by Groups.. WOA, volume 1867 of CEUR Workshop Proceedings, page 49-54. CEUR-WS.org, (2017)A Reputation Mechanism to Support Cooperation of IoT Devices., , , , and . AI&IoT@AI*IA, volume 2502 of CEUR Workshop Proceedings, page 28-39. CEUR-WS.org, (2019)A lightweight electronic signature scheme using Twitter., , , , and . SEBD, page 160-167. Curran Associates, Inc., (2015)Predicting the hydrological response of a forest after wildfire and soil treatments using an Artificial Neural Network., , , , , and . Comput. Electron. Agric., (2020)A blockchain-based group formation strategy for optimizing the social reputation capital of an IoT scenario., , , , and . Simul. Model. Pract. Theory, (2021)Using Local Trust for Forming Cohesive Social Structures in Virtual Communities., , , and . Comput. J., 60 (11): 1717-1727 (2017)A QoS-Aware, Trust-Based Aggregation Model for Grid Federations., , , , and . OTM Conferences, volume 8841 of Lecture Notes in Computer Science, page 277-294. Springer, (2014)Combining Reliability, Reputation and Honesty to Enhance QoS on Federated Computing Infrastructures., and . WOA, volume 2215 of CEUR Workshop Proceedings, page 45-50. CEUR-WS.org, (2018)