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Model Reduction and Neural Networks

Работ: 19

  1. Evaluation Methods of Spline

    Dhananjay Singh, Madhusudan Singh, Hakimjon Zaynidinov

    ГлаваFractional Differential Equations SolutionsSpringerBriefs in applied sciences and technology2018Цитирований: 8
    ABI

  2. Monte Carlo gPC Methods for Diffusive Kinetic Flocking Models with Uncertainties

    José A. Carrillo, Mattia Zanella

    ПрепринтProbabilistic and Robust Engineering DesignVietnam Journal of Mathematics2019Цитирований: 1
    ABI

  3. A POD APPROACH FOR TURBULENT FLOW CONTROL BY ELECTRO-HYDRODYNAMIC LARGE-SCALE STRUCTURES

    F. Beux, Angelo Iollo, Maria Vittoria Salvetti +1

    СтатьяModel Reduction and Neural Networks2000Цитирований: 0
    ABI

  4. Adaptive Spectral Galerkin Methods with Dynamic Marking

    Claudio Canuto, Ricardo H. Nochetto, Rob Stevenson +1

    ПрепринтAdvanced Numerical Methods in Computational MathematicsSIAM Journal on Numerical Analysis2016Цитирований: 0
    ABI

  5. Absorbing boundary conditions for Schrödinger equation in a time-dependent interval

    О. В. Карпова, K.K. Sabirov, D. Otajanov +2

    СтатьяElectromagnetic Simulation and Numerical MethodsNanosystems Physics Chemistry Mathematics2017Цитирований: 0
    ABI

  6. Extreme Event Quantification in Dynamical Systems with Random Components

    Giovanni Dematteis, Tobias Grafke, Eric Vanden‐Eijnden

    ПрепринтProbabilistic and Robust Engineering DesignSIAM/ASA Journal on Uncertainty Quantification2019Цитирований: 0
    ABI

  7. Structure preserving stochastic Galerkin methods for Fokker–Planck equations with background interactions

    Mattia Zanella

    ПрепринтProbabilistic and Robust Engineering DesignMathematics and Computers in Simulation2019Цитирований: 0
    ABI

  8. Nonlinear system identification in Sobolev spaces

    Carlo Novara, Angelo Nicolí, Giuseppe C. Calafiore

    ПрепринтProbabilistic and Robust Engineering DesignInternational Journal of Control2022Цитирований: 0
    ABI

  9. Error estimation for the third-order accuracy approximate solution of the Cauchy problem by the Taylor formula

    Abdugani Abdullaev

    СтатьяImage and Signal Denoising MethodsBulletin of National University of Uzbekistan Mathematics and Natural Sciences2023Цитирований: 0
    ABI

  10. Multiscale simulation frameworks for light-matter interaction in AI-designed materials

    Iroda Ilkhamova, Abutolib Sobirjonov, Gulnora Ernazarova +3

    СтатьяMachine Learning in Materials Science2025Цитирований: 0
    ABI

  11. A Machine Learning-Based Data-Driven Optimisation Approach for Solving Differential Equations

    Mariyam Ahmed, YusufjanovUlugbekJavlonUgli, K.S. Bhuvaneshwari +3

    СтатьяModel Reduction and Neural Networks2025Цитирований: 0
    ABI

  12. Convolution Kernel Determination Problems

    D. K. Durdiev

    ГлаваControl Systems and IdentificationIndustrial and applied mathematics2025Цитирований: 0
    ABI

  13. Hybrid neural network architecture based on Long Short-Term Memory and Deep Neural Network with probabilistic robustness criterion and low-variance sensing for predictive control of dynamic processes

    Barnokhon Temerbekova, Gulnora Bekimbetova, Ulugbek Mamanazarov +1

    ПрепринтAdvanced Control Systems OptimizationSSRN Electronic Journal2025Цитирований: 0
    ABI

  14. Data Science Optimization Frameworks for Computationally Efficient Scientific Simulation: A Cross-Domain Narrative Review

    Sabir Z. Sharipov

    СтатьяMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  15. Data Science Optimization Frameworks for Computationally Efficient Scientific Simulation: A Cross-Domain Narrative Review

    Sabir Z. Sharipov

    СтатьяMachine Learning in Materials ScienceZenodo (CERN European Organization for Nuclear Research)2026Цитирований: 0
    ABI

  16. Nonlinear thermophysical dynamics of MHD hybrid nanofluids: a multiparametric fractional framework assisted by artificial neural networks

    Shajar Abbas, Muhammad Ramzan, Rashid Jan +5

    СтатьяNanofluid Flow and Heat TransferJournal of Thermal Analysis and Calorimetry2026Цитирований: 0
    ABI

  17. AI-driven optimal control modeling for yield enhancement using nonlinear diffusion dynamics

    D. T. Muhamediyeva, N. S. Mamatov, A. F. Isoqov +2

    СтатьяAdvanced Control Systems Optimization2026Цитирований: 0
    ABI

  18. A low-rank, high-order implicit-explicit integrator for three-dimensional convection-diffusion equations

    Joseph Nakao, Gianluca Ceruti, Lukas Einkemmer

    СтатьяTensor decomposition and applicationsComputer Physics Communications2026Цитирований: 0
    ABI

  19. Sturm-Certified Dynamic Pull-in Criteria in Graphene-Based MEMS

    Olimjon Eshkobilov, Shirali Kadyrov

    ПрепринтMechanical and Optical ResonatorsSSRN Electronic Journal2026Цитирований: 0
    ABI