Search alternatives:
development based » developed based (Expand Search), development stages (Expand Search), development level (Expand Search)
fitting algorithm » finding algorithm (Expand Search), filtering algorithm (Expand Search), twisting algorithm (Expand Search)
ipca algorithm » wgcna algorithm (Expand Search), cscap algorithm (Expand Search), ii algorithm (Expand Search)
element ipca » element data (Expand Search)
data fitting » data settings (Expand Search), data mining (Expand Search)
development based » developed based (Expand Search), development stages (Expand Search), development level (Expand Search)
fitting algorithm » finding algorithm (Expand Search), filtering algorithm (Expand Search), twisting algorithm (Expand Search)
ipca algorithm » wgcna algorithm (Expand Search), cscap algorithm (Expand Search), ii algorithm (Expand Search)
element ipca » element data (Expand Search)
data fitting » data settings (Expand Search), data mining (Expand Search)
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Flowchart of the new algorithm.
Published 2024“…<div><p>In recent years, various real-time processing methods have been developed for Satellite Laser Ranging (SLR) data. However, the recognition rate of the single-stage Graz filtering algorithm for high-orbit satellites is less than 1%, and traditional two-stage filtering algorithms, such as polynomial fitting and iterative filtering techniques, exhibit high false and missed detection rates. …”
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Average computation time for each algorithm.
Published 2024“…<div><p>In recent years, various real-time processing methods have been developed for Satellite Laser Ranging (SLR) data. However, the recognition rate of the single-stage Graz filtering algorithm for high-orbit satellites is less than 1%, and traditional two-stage filtering algorithms, such as polynomial fitting and iterative filtering techniques, exhibit high false and missed detection rates. …”
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Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms
Published 2025“…Six different machine learning algorithms were employed to develop prognostic models based on the clinical features during the acute phase, which were reduced using Lasso regression.…”
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Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx
Published 2025“…</p>Conclusion<p>This study represents the first application of an ML algorithm techniques to the endoscopic classification of serrated polyps. …”
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Fitted density estimates under the K⋅⋅ model on a simulated dataset from sample type A.
Published 2024Subjects: -
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Developed energy optimization model with LSC based on OAWDO algorithm.
Published 2024“…<p>Developed energy optimization model with LSC based on OAWDO algorithm.…”
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Comparison results of prediction model with single algorithm and combination algorithm.
Published 2025Subjects: -
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News classification data fitted with Naive Bayes and TF-IDF algorithm.
Published 2025“…<p>News classification data fitted with Naive Bayes and TF-IDF algorithm.…”