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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
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data processing » image processing (Expand Search)
rt algorithm » rf algorithm (Expand Search), rl algorithm (Expand Search), art algorithms (Expand Search)
based rt » based arm (Expand Search), based cft (Expand Search), based _ (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
data processing » image processing (Expand Search)
rt algorithm » rf algorithm (Expand Search), rl algorithm (Expand Search), art algorithms (Expand Search)
based rt » based arm (Expand Search), based cft (Expand Search), based _ (Expand Search)
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The run time for each algorithm in seconds.
Published 2025“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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RT-Sort parameters.
Published 2024“…However, until now, spike sorting can only be performed after completion of the recording, preventing true real time usage of spike sorting algorithms. Utilizing the unique propagation patterns of action potentials along axons detected as high-fidelity sequential activations on adjacent electrodes, together with a convolutional neural network-based spike detection algorithm, we introduce RT-Sort (Real Time Sorting), a spike sorting algorithm that enables the sorted detection of action potentials within 7.5ms±1.5ms (mean±STD) after the waveform trough while the recording remains ongoing. …”
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The flowchart of GWO-VMD method.
Published 2025“…We propose a novel seismic random noise suppression method based on enhanced variational mode decomposition (VMD) with grey wolf optimization (GWO) algorithm, which applies the envelope entropy to evaluate the wolf individual fitness, determine the grey wolf hierarchy, and obtain the optimized key elements <i><i>K</i></i> and <i>α</i> in VMD. …”
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Effects of processing rate and algorithms performance on estimates of biodiversity.
Published 2025Subjects: -
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Statistics of GI data processing using different algorithms at various input CTTDs.
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Statistics of HEWL data processing using different algorithms at various input CTTDs.
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