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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
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data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
based binding » based funding (Expand Search), ace2 binding (Expand Search), acid binding (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
binding algorithm » finding algorithm (Expand Search), finding algorithms (Expand Search), mining algorithm (Expand Search)
data processing » image processing (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
based binding » based funding (Expand Search), ace2 binding (Expand Search), acid binding (Expand Search)
element data » settlement data (Expand Search), relevant data (Expand Search), movement data (Expand Search)
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Comparison of different optimization algorithms.
Published 2025Subjects: “…crayfish optimization algorithm…”
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The run time for each algorithm in seconds.
Published 2025“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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Schematic diagram of the experimental algorithm.
Published 2025“…Second, the egg carrier structure is designed, the material properties are analysed, and key parameters such as deformation are simulated by SolidWorks and Ansys Workbench. Finite element and fatigue analyses are carried out for the key parameters of the structure, and deformation, fatigue and other data that appear in the actual operation process are obtained. …”
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Model-Based Clustering of Categorical Data Based on the Hamming Distance
Published 2024“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. …”
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