Search alternatives:
fitting algorithm » finding algorithm (Expand Search), filtering algorithm (Expand Search), twisting algorithm (Expand Search)
update algorithm » pass algorithm (Expand Search), data algorithms (Expand Search), ipca algorithm (Expand Search)
element update » element data (Expand Search)
develop based » developed based (Expand Search), develop masld (Expand Search), development based (Expand Search)
data fitting » data settings (Expand Search), data mining (Expand Search)
fitting algorithm » finding algorithm (Expand Search), filtering algorithm (Expand Search), twisting algorithm (Expand Search)
update algorithm » pass algorithm (Expand Search), data algorithms (Expand Search), ipca algorithm (Expand Search)
element update » element data (Expand Search)
develop based » developed based (Expand Search), develop masld (Expand Search), development based (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“…Background and aims<p>Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to improve endoscopic SSL diagnosis.…”
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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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