Search alternatives:
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data processing » image processing (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data processing » image processing (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
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Average computation time for each algorithm.
Published 2024“…To address these problems, we propose a new, efficient real-time SLR data processing method. This algorithm combines single-stage filtering with a histogram-based approach and incorporates polynomial fitting to establish a predictive model. …”
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Decision support process in a medical context.
Published 2025“…This study provides an effective tool for scientific decision-making in digital healthcare and offers critical technical support for processing and analyzing large-scale medical data.</p></div>…”
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Autoclave Molding Scheduling in Aerospace Composite Materials Production Using an Extended Whale Optimization Algorithm
Published 2025“…<p dir="ltr">This dataset supports the manuscript entitled "Autoclave Molding Scheduling in Aerospace Composite Materials Production Using an Extended Whale Optimization Algorithm." All data were generated through computer simulations and saved in CSV format. …”
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Dynamic window based median filtering algorithm.
Published 2025“…Therefore, the study proposes a signal automatic modulation classification model based on fixed K-mean algorithm and denoising autoencoder. The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”