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samples algorithm » sampling algorithm (Expand Search), kepler algorithm (Expand Search), atlas algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
image samples » female samples (Expand Search)
element » elements (Expand Search)
samples algorithm » sampling algorithm (Expand Search), kepler algorithm (Expand Search), atlas algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
image samples » female samples (Expand Search)
element » elements (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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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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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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