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During the last decade, aadl is an emerging architecture description languages addressing the modeling of embedded systems.
Most existing research works addressing the modeling and simulation of supply chains are generally based on a discrete event worldview.
They address the model design process, as well as, model validation and calibration.
Nevertheless, in what follows, we address the model inference procedure for BGS-NMF with LSM prior.
Rare but interesting preliminary contributions address the model reduction issue from a physical point of view.
This paper addresses the model selection issue often encountered in the process of calibrating reliability-based geotechnical resistance factors.
This study proposes a novel predictive modeling method with short-term creep tests to address the model uncertainty in the creep prediction.
In this work we address the model and parametric sensitivity of groundwater transport using the Lagrangian-Stochastic Advection Reaction (LaSAR) methodology.
Then the dEWMA controller can be applied to each SISO control loop respectively to address the model errors gradually reduced from model plant mismatches and unmeasured disturbances.
This work addresses the model predictive controller design for a complex solar boreal thermal storage system which models a real Drake Landing Solar Commercial Community.
It addresses the model selection problem by choosing networks that provide optimal class separation.
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