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The campaign was specifically designed for model evaluation purposes.
We developed small computer-controlled unmanned aerial vehicles (UAVs, Ant-Plane) using parts and technology designed for model airplanes.
This methodology is designed for model users to interpret their model results but also for policy-makers to help them defining intervention priorities.
This study utilizes the results of a previous measurement campaign near a major road at Elimäki in southern Finland in 1995, a campaign specifically designed for model evaluation purposes.
To improve the tracking performance, Lyapunov based adaptive PD and PID controllers are designed for model reference adaptive control structure and the performances are compared with existing gain scheduling PD/PID controller.
We present our approach to automated environment generation that is based on behavior protocols [Plasil, F., and S. Visnovsky, Behavior Protocols for Software Components, IEEE Transactions on Software Engineering, 28(2002)]; to our knowledge, this is the only environment generator designed for model checking of software components.
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The first solution which is based on the multi-grid discretisation is designed for model-free reinforcement learning.
We provide a detailed characterization of browser actions via rewrite rules and show how our models can be naturally model-checked by using the Linear Temporal Logic of Rewriting (LTLR), which is a Linear Temporal Logic that is specifically designed for model-checking rewrite theories.
They are designed for modeling the functionality of static memories.
Most existing estimation and testing methods are designed for models without endogeneity.
In this paper, we present a novel simulation platform designed for modeling information exchange at nanoscales.
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