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An Autoencoder-Based Deep Learning Approach for Load Identification in Structural Dynamics.

, , , и . Sensors, 21 (12): 4207 (2021)

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Patrik Manzoni

Gelson Manzoni Oliveira

Roger Eugène Manzoni

Andrea Witzenrath

Risikofaktoren für abdominelle Komplikationen nach kardiopulmonalem Bypass. Uni Erlangen-Nürnberg, (2009)

Andrea Rottach

Analysis of the cell cycle dependent dynamics of Dnmt1 and Np95 in living cells. Uni München, (2009)
 

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An Autoencoder-Based Deep Learning Approach for Load Identification in Structural Dynamics., , , и . Sensors, 21 (12): 4207 (2021)Efficient and certified solution of parametrized one-way coupled problems through DEIM-based data projection across non-conforming interfaces., , и . Adv. Comput. Math., 49 (2): 21 (апреля 2023)A Reduced-Order Strategy for Solving Inverse Bayesian Shape Identification Problems in Physiological Flows., , , и . HPSC, стр. 145-155. Springer, (2012)EKF-SINDy: Empowering the extended Kalman filter with sparse identification of nonlinear dynamics., , , , и . CoRR, (2024)Reduced basis approximation and a posteriori error estimation for Stokes flows in parametrized geometries: roles of the inf-sup stability constants., , и . Numerische Mathematik, 125 (1): 115-152 (2013)Reduced Basis Methods for Partial Differential Equations : An Introduction., , и . Springer, 1st ed. 2016 издание, (11.09.2015)Reduction Strategies for Shape Dependent Inverse Problems in Haemodynamics., , и . System Modelling and Optimization, том 391 из IFIP Advances in Information and Communication Technology, стр. 397-406. Springer, (2011)VENI, VINDy, VICI: a variational reduced-order modeling framework with uncertainty quantification., , , , , , и . CoRR, (2024)Efficient State/Parameter Estimation in Nonlinear Unsteady PDEs by a Reduced Basis Ensemble Kalman Filter., , и . SIAM/ASA J. Uncertain. Quantification, 5 (1): 890-921 (2017)SINDy vs Hard Nonlinearities and Hidden Dynamics: a Benchmarking Study., , , и . CoRR, (2024)