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This paper proposes a novel approach to dynamically manage the traffic lights cycles and phases in an isolated intersection.
Based on this analysis we develop a novel approach to dynamically adjust the kernel range for each SPH particle separately, accounting for the local flow kinematics.
We adopted an iterative approach to dynamically analyze those packages and identified 360 previously unknown malicious or vulnerable packages, 315 of which have been validated by the community so far; 258 of those issues are considered as highly severe.
The main proposal is to design a new approach to dynamically adapt some parameters of the PSO algorithm, such as the weight of inertia and learning factors.
In this paper, we present XLE, an XML Lightweight Extractor, as a practical approach to dynamically extracting DTD-conforming XML documents from heterogeneous data sources.
Of recent interest is the use of this approach to dynamically follow the displacement of tracer during in vivo changes in neurotransmitter concentrations.
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We then propose several co-fix-aware prioritization approaches to dynamically optimize the new measure, based on the historical defect co-fixes.
In the next section, we illustrate iterative approaches to dynamically estimate the state of u t for t=1,…,T, exploiting both sparsity and non-negativity.
Probabilistic approaches to dynamically control data collection have shown improved performance in non-disabled populations; however, validation of these approaches in a target BCI user population has not occurred.
In addition, Netbed/Emulab [11] or ModelNet [9] are large testbeds federating and coordinating several such traffic shapers, using various approaches to dynamically configure a traffic shaper during emulation.
These approaches to dynamically control the 2D microenvironment through degradation are complementary to non-degradable approaches.
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