[图书][B] Handbook of Dynamic Data Driven Applications Systems
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the material is concerned, specifically the rights of translation, reprinting, reuse of …
the material is concerned, specifically the rights of translation, reprinting, reuse of …
DDDAS advantages from high-dimensional simulation
E Blasch - 2018 Winter Simulation Conference (WSC), 2018 - ieeexplore.ieee.org
Dynamic Data Driven Applications Systems (DDDAS) is a systems design framework that
focuses on integrating high-dimensional physical model simulations, run-time …
focuses on integrating high-dimensional physical model simulations, run-time …
The Dynamic Data Driven Applications Systems (DDDAS) Paradigm and Emerging Directions
Abstract Dynamic Data Driven Applications Systems (DDDAS) is a paradigm for systems
analysis and design and a framework that dynamically integrates comprehensive, first …
analysis and design and a framework that dynamically integrates comprehensive, first …
Introduction to the dynamic data driven applications systems (DDDAS) paradigm
EP Blasch, F Darema, D Bernstein - Handbook of Dynamic Data Driven …, 2022 - Springer
Abstract Dynamic Data Driven Applications Systems (DDDAS) is a paradigm for systems
analysis and design, and a framework that dynamically couples high-dimensional physical …
analysis and design, and a framework that dynamically couples high-dimensional physical …
Introduction to dynamic data driven applications systems
Abstract Dynamic Data Driven Application Systems (DDDAS) is a systems design framework
that focuses on developments that incorporate high-dimensional physical models, run-time …
that focuses on developments that incorporate high-dimensional physical models, run-time …
Algorithms for context learning and information representation for multi-sensor teams
Sensor measurements of the state of a system are affected by natural and man-made
operating conditions that are not accounted for in the definition of system states. It is …
operating conditions that are not accounted for in the definition of system states. It is …
Learning and decision optimization in data-driven autonomous systems
DK Jha - 2016 - etda.libraries.psu.edu
Modern human-engineered systems like self-driving cars, smart buildings, power grids etc.,
are becoming increasingly complex so that they present unparalleled challenges for their …
are becoming increasingly complex so that they present unparalleled challenges for their …
On Compression of Machine-Derived Context Sets for Fusion of Multi-modal Sensor Data
Dynamic data-driven applications systems (DDDAS) operate on a sensing infrastructure for
multi-modal measurement, communications, and computation, through which they perceive …
multi-modal measurement, communications, and computation, through which they perceive …
Context sensing and feature discovery for improving classifications
MS Shahriar, MS Rahman - Proceedings of the 1st Workshop on …, 2015 - dl.acm.org
We propose context sensing as features for improved accuracy in classifications in our
ongoing research. In many applications, features extracted from purposed sensors may not …
ongoing research. In many applications, features extracted from purposed sensors may not …