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Then a dynamic weight heuristic function is designed and a dynamic multistep optimization algorithm is proposed.
Therefore, a direction prediction scheme and a dynamic weight adjustment scheme are proposed to reduce the number of handovers.
Each node is assigned a dynamic weight value which approximates the node's demand for transmission slots in the next frame.
After assigning a dynamic weight to the weight counter, LAWRR begins serving each queue starting from the head of the first queue to the last queue.
To address the shortcomings of WRR described above, we propose an algorithm that changes the static weight of each class into a dynamic weight.
In accordance with the node's slot usage history and packet-queue occupancy, each node is assigned a dynamic weight value which approximates the node's demand for transmission slots in the next frame.
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Hu et al. [35] presented a composite saliency indicator and a dynamic weighting strategy to estimate saliency.
These signals are progressively fed into a dynamic weighting ensembles algorithm, called Learn++NC, for fault classification.
A dynamic weighting scheme which tries to alleviate this problem should periodically measure the amount of waste caused by the most recent weight assignments and reset those counters.
A first solution is to split the areas of interest in several subareas and to apply a dynamic weighting scheme that gives a high gain to sub-areas that contain dark details and low gains to bright sub-areas.
The CT-MMAE is composed by a dynamic weighting signal generator and a bank of local continuous-time observers where each observer is designed using one element of a finite discrete model (parameter) set.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com