Search alternatives:
sampling algorithm » making algorithm (Expand Search), modeling algorithm (Expand Search), mining algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
image sampling » stage sampling (Expand Search), image samples (Expand Search), image labeling (Expand Search)
sampling algorithm » making algorithm (Expand Search), modeling algorithm (Expand Search), mining algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
image sampling » stage sampling (Expand Search), image samples (Expand Search), image labeling (Expand Search)
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Algorithmic experimental parameter design.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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Spatial spectrum estimation for three algorithms.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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Statistics of GI data processing using different algorithms at various input CTTDs.
Published 2025Subjects: -
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Statistics of HEWL data processing using different algorithms at various input CTTDs.
Published 2025Subjects: -
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Sample output of the pedestrian detection and social distance estimation algorithm.
Published 2024Subjects: -
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Algorithm for MFISTA-VA [30].
Published 2025“…GRASP uses Temporal Total Variation (TV) norm as a sparsity transform to promote sparsity among multi-coil MRI data and Nonlinear Conjugate Gradient (NL-CG) algorithm to obtain an optimal solution. …”
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Dual deconvolution algorithm: analysis code with experimental data
Published 2025“…The dual-deconvolution algorithm is an advanced deep-tissue imaging technique designed to measure fluorescence signals from thick, aberrated samples. …”
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Image_1_Fast and flexible spatial sampling methods based on the Quadtree algorithm for ocean monitoring.tif
Published 2024“…In second-phase sampling, QT decomposition and the greedy algorithm are combined (the BG algorithm). QT decomposition is used to divide the region into small blocks first, and then within the small blocks, the greedy algorithm is applied to sampling simultaneously. …”