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Caracterizando Estratégias de Domínio Espacial para Gerenciamento de Regras em Redes Definidas por Software., , , , , , и . SBRC, (2017)Oil-Slick Category Discrimination (Seeps vs. Spills): A Linear Discriminant Analysis Using RADARSAT-2 Backscatter Coefficients (σ°, β°, and γ°) in Campeche Bay (Gulf of Mexico)., , , , и . Remote Sensing, 11 (14): 1652 (2019)Machine-Learning Classification of SAR Remotely-Sensed Sea-Surface Petroleum Signatures - Part 1: Training and Testing Cross Validation., , , и . Remote. Sens., 14 (13): 3027 (2022)Assessment of Heart Patients Dataset Through Regression and Classification Algorithms., и . DIONE, том 452 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 178-190. Springer, (2022)UDP4US: Universal Device Pipe for Ubiquitous Services., , , , , и . SBESC, стр. 36-41. IEEE Computer Society, (2015)Applying Non-destructive Testing and Machine Learning to Ceramic Tile Quality Control., , , , , , , , , и . SBESC, стр. 54-61. IEEE, (2018)The device service bus: a solution for embedded device integration through web services., и . SAC, стр. 185-189. ACM, (2009)Oil Spills or Look-Alikes? Classification Rank of Surface Ocean Slick Signatures in Satellite Data., , , и . Remote. Sens., 13 (17): 3466 (2021)Data Confidence Applied to Wind Turbine Power Curves., , , , , , , и . SBESC, стр. 1-8. IEEE, (2020)Feature Selection in Machine Learning for Knocking Noise detection., , и . SBESC, стр. 1-8. IEEE, (2022)