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Data-Driven Inverse Modelling of Ionic Polymer Conductive Composite Plates.

, и . International Conference on Computational Science (2), том 3992 из Lecture Notes in Computer Science, стр. 131-138. Springer, (2006)

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Multi-level Coupling of Dynamic Data-Driven Experimentation with Material Identification., и . International Conference on Computational Science (1), том 4487 из Lecture Notes in Computer Science, стр. 1180-1188. Springer, (2007)Computational Modelling of Multi-field Ionic Continuum Systems.. International Conference on Computational Science, том 3039 из Lecture Notes in Computer Science, стр. 621-628. Springer, (2004)Regularization for Parameter Identification Using Multi-Objective Optimization., , и . Multi-Objective Machine Learning, том 16 из Studies in Computational Intelligence, Springer, (2006)On the Fundamental Tautology of Validating Data-Driven Models and Simulations., и . International Conference on Computational Science (2), том 3515 из Lecture Notes in Computer Science, стр. 738-745. Springer, (2005)Data-Driven Inverse Modelling of Ionic Polymer Conductive Composite Plates., и . International Conference on Computational Science (2), том 3992 из Lecture Notes in Computer Science, стр. 131-138. Springer, (2006)A Data-Driven Multi-field Analysis of Nanocomposites for Hydrogen Storage., , и . International Conference on Computational Science (3), том 3516 из Lecture Notes in Computer Science, стр. 80-87. Springer, (2005)Underlying issues associated with validation and verification of dynamic data driven simulation., и . WSC, стр. 2093-2100. IEEE Computer Society, (2006)Multiphysics Missing Data Synthesis: A Machine Learning Approach for Mitigating Data Gaps and Artifacts., , , , , и . J. Comput. Inf. Sci. Eng., (апреля 2024)Towards a Dynamic Data Driven System for Structural and Material Health Monitoring., , , , и . International Conference on Computational Science (3), том 3993 из Lecture Notes in Computer Science, стр. 456-464. Springer, (2006)Peridynamics enabled digital image correlation for tracking crack paths., , , , , и . Eng. Comput., 39 (1): 517-543 (февраля 2023)