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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
modelling algorithm » modeling algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data processing » image processing (Expand Search)
element » elements (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
modelling algorithm » modeling algorithm (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
data processing » image processing (Expand Search)
element » elements (Expand Search)
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Element model generation method with geometric distribution errors
Published 2025“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”
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The ANFIS algorithm details.
Published 2025“…To overcome the challenges involved in the selection of a stock portfolio, this article presents a three-stage optimization model. In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. …”
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MAPR of GPT compared with optimal algorithm.
Published 2025“…<div><p>Large language models have revolutionized the field of natural language processing and are now becoming a one-stop solution to various tasks. …”
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171
Errors from the LLM and simulated algorithms.
Published 2025“…<div><p>Large language models have revolutionized the field of natural language processing and are now becoming a one-stop solution to various tasks. …”
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172
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Dynamic window based median filtering algorithm.
Published 2025“…The model uses fixed K-mean algorithm for feature classification and optimizes median filtering algorithm using dynamic thresholding. …”
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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. …”