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Showing 1 to 6 of 6 for “"stochastic prediction"”.

  1. Stochastic prediction in sequential high-dimensional observation space

    Babaeizadeh, MohammadUniversity of Illinois at Urbana-Champaign2020

    … challenging. Real-world events can be stochastic and unpredictable, and the high dimensionality and complexity of natural images require the predictive model to build an intricate understanding of the natural world. Many existing predictive methods tackle this problem by making …

    uiuc Repository record

  2. Stochastic prediction of mooring line fatigue and failure

    Sabin, Peter B. (Peter Bowman), 1968-Massachusetts Institute of Technology2001

    Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Ocean Engineering, 2001.

    mit Repository record

  3. Stochastic prediction of sediment deposition in the Mazar Reservoir

    Pasquel H., Renan FernandoVirginia Polytechnic Institute and State University1985

    In this thesis, a stochastic model was utilized to predict the water content and sediment deposition characteristics in the Mazar Reservoir in Ecuador. The results obtained were compared with those reported in the project's feasibility study. The methodology used in this study was based on the …

    vt Repository record

  4. Stochastic prediction of collapse of building structures under seismic excitations

    Deniz, DeryaUniversity of Illinois at Urbana-Champaign2015

    … modeling of such structures, accurate prediction of structural collapse with systematic incorporation of uncertainty still remains a question, especially for structural evaluation and design of actual structures. The most commonly used approach to assess the collapse capacity of …

    uiuc Repository record

  5. Reduced order modeling for stochastic prediction and data assimilation onboard autonomous platforms at sea

    Heuss, Jacob P.Massachusetts Institute of Technology and Woods Hole Oceanographic Institution2021

    … order models (ROMs) are needed for onboard predictions. In the first part, several reduced order modeling schemes for regional ocean forecasting onboard autonomous platforms at sea are described, investigated, and evaluated. We find that Dynamic Mode Decomposition (DMD), a data-driven …

    woods-hole Repository record

  6. Reduced Order Modeling for Stochastic Prediction and Data Assimilation Onboard Autonomous Platforms At Sea

    Heuss, Jacob PeterMassachusetts Institute of Technology2021

    … order models (ROMs) are needed for onboard predictions. In the first part, several reduced order modeling schemes for regional ocean forecasting onboard autonomous platforms at sea are described, investigated, and evaluated. We find that Dynamic Mode Decomposition (DMD), a data-driven …

    mit Repository record