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Modélisation du brouillard durant la campagne ParisFog : approche prédictive et étude de l'effet des hétérogénéités spatiales. (Fog modelling during the ParisFog campaign : predictive approach and spatial heterogeneity effect).. École des ponts ParisTech, Champs-sur-Marne, France, (2010)Formation and Reconfiguration of Tight Multi-Lane Platoons., , и . CoRR, (2020)Blockchain-enabled supervised secure data sharing and delegation scheme in Web3.0., , , , , и . J. Cloud Comput., 13 (1): 21 (декабря 2024)Audio Visual Emotion Recognition Based on Triple-Stream Dynamic Bayesian Network Models., , , , , и . ACII (1), том 6974 из Lecture Notes in Computer Science, стр. 609-618. Springer, (2011)Efficient implementation of Randomized MPC for miniature race cars., , , и . ECC, стр. 957-962. IEEE, (2016)Selling robustness margins: A framework for optimizing reserve capacities for linear systems., , , и . CDC, стр. 6419-6424. IEEE, (2014)An Anti-Degenerative Approach for FCM Neural Network Classifier in Complex Classification Tasks., , , , , , и . ICBDT, стр. 73-79. ACM, (2023)Simple Policy Evaluation for Data-Rich Iterative Tasks., , и . ACC, стр. 2855-2860. IEEE, (2019)Safe and Near-Optimal Policy Learning for Model Predictive Control using Primal-Dual Neural Networks., , и . ACC, стр. 354-359. IEEE, (2019)GuideSE: Annotations for Guiding Concolic Testing., , , и . AST@ICSE, стр. 23-27. IEEE Computer Society, (2015)