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level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
coding algorithm » cosine algorithm (Expand Search), modeling algorithm (Expand Search), finding algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
pre processing » time processing (Expand Search), _ processing (Expand Search), rna processing (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
level coding » level according (Expand Search), level modeling (Expand Search), level using (Expand Search)
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Supplementary material for the paper "Demonstration the importance of pre-processing the text fields of bibliometric records to identify promising research tasks. Case study of Sco...
Published 2025“…The aim of this paper was to demonstrate the importance of pre-processing the text fields of bibliometric records to construct a term co-occurrence network and the feasibility of subsequently using Scimago Graphica to examine different slices of clustering results in detail in order to identify relevant research topics. …”
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Model code
Published 2025“…The latter provides insights into the inherent texture complexity of the image data due to the lossless coding. For classification of leaf surfaces from tree species based on the computed features, we utilized the k-nearest neighbors (kNN) algorithm with k=3. …”
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Pseudocode of the WACO algorithm.
Published 2025“…<div><p>This study addresses a cutting stock problem in steel cutting industry by developing a mathematical model in which machine specifications and cutting conditions are constraints. The solution process involves three key steps: (i) Problem representation, where feasible cutting solutions are modeled based on pre-cut steel bars and customer orders, (ii) Problem space reduction, which reduces the problem space by eliminating suboptimal solutions and following manufacturer loss limits, and (iii) Optimal solution search, whereas the optimal solution is identified using a new Adaptive Pathfinding Optimization Algorithm. …”
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Data Sheet 1_Strategies for population-level identification of post-acute sequelae of COVID-19 through health administrative data.pdf
Published 2025“…From each included study, we extracted data on design, algorithms used for outcome identification (sources, coding systems, codes, time criteria/thresholds), and whether significant associations with SARS-CoV-2 infection were reported.…”
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Code snippet from “Apache Dubbo” GitHub project.
Published 2025“…Our approach uses cross-project code clone detection to establish the ground truth for software reuse, identifying code clones across popular GitHub projects as indicators of potential reuse candidates. …”
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A comparison of the original images with the filtered images with the uniform window.
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Confusion matrix values for different size of test samples and different choice of random states.
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Comparison of the results obtained with the proposed method with other methods in literature.
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A comparison of the original images with the filtered images with the binomial window.
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Graphical illustration of a spectral approach for training support vector machine.
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