Titlebook: Handbook of Dynamic Data Driven Applications Systems; Volume 1 Erik P. Blasch,Frederica Darema,Alex J. Aved Book 2022Latest edition This is

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Dynamic Space-Time Model for Syndromic Surveillance with Particle Filters and Dirichlet Processucture. To resolve these issues, we propose a novel Dirichlet process particle filter (DPPF) model. The Dirichlet process models a set of stochastic functions as probability distributions for dimension reduction, and the particle filter is used to solve the nonlinear filtering problem with sequentia

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A Computational Steering Framework for Large-Scale Composite Structures: Part I—Parametric-Based Desevelopments in these fields to formulate a Dynamic Data-Driven Applications Systems (DDDAS) Interactive Structure Composite Element Relation Network (DISCERN) framework. DISCERN consists of the following items and features: a structural health monitoring (SHM) system, an advanced structural modeling

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Dynamic Data-Driven Approach for Unmanned Aircraft Systems Aero-elastic Response Analysis the system. Our approach is illustrated in the context of the unmanned aerial vehicle, such as the SensorCraft. It will be shown as to how DDDAS can be used to enhance the performance envelope as well as avoid aero-elastic instabilities, while reducing the need for user input. The DDDAS methodology

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