Search alternatives:
fitting algorithm » filtering algorithm (Expand Search), twisting algorithm (Expand Search), finding algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data fitting » data settings (Expand Search), data mining (Expand Search)
data finding » path finding (Expand Search), case finding (Expand Search), dose finding (Expand Search)
element » elements (Expand Search)
fitting algorithm » filtering algorithm (Expand Search), twisting algorithm (Expand Search), finding algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data fitting » data settings (Expand Search), data mining (Expand Search)
data finding » path finding (Expand Search), case finding (Expand Search), dose finding (Expand Search)
element » elements (Expand Search)
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Algorithmic experimental parameter design.
Published 2024“…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …”
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Spatial spectrum estimation for three algorithms.
Published 2024“…<div><p>This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …”
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The run time for each algorithm in seconds.
Published 2025“…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…”
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Smooth curve fitting of FSI and albuminuria.
Published 2025“…</p><p>Patients and methods</p><p>Data were obtained from the National Health and Nutrition Examination Survey (NHANES) database. …”
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The fitness values during the MABC optimization.
Published 2025“…The coefficient of determination (<i><i>R</i></i><sup>2</sup>) is 0.93, significantly higher than for all comparison models. The findings demonstrate the effectiveness of combining an intelligent optimization algorithm with the LSSVM model. …”
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