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method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
based data » used data (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
based data » used data (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
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Effects of Nash equilibrium speed changes with the non-sensory motor algorithm on encounters, agent numbers, and payoffs.
Published 2025“…<b>F</b> shows scatter plots of all data for the behavioral cost coefficients (<i>c</i><sub><i>b</i></sub>) and the reproduction coefficients of predators (<i>r</i>), illustrating the relationships among the number of agents (<i>N</i><sub><i>i</i></sub>), encounter frequency <b>(<i>E</i>)</b>, and Nash equilibrium payoff (<sub><i>i</i></sub>), based on actual measurements obtained by assigning Nash equilibrium speed changes. …”
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List of the time used by each algorithm.
Published 2024“…To this end, this paper proposes an entropy-based dynamic ensemble classification algorithm (EDAC) to consider data streams with class imbalance and concept drift simultaneously. …”
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Multi-material topology optimization using scaled boundary finite element method
Published 2025“…<p>This work introduces the use of Scaled Boundary Finite Element Method (SBFEM) in Multi-Material Topology Optimization (MMTO) problems, which is new in the literature. …”
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Hyperspectral Camouflage Detection Dataset and Codes
Published 2025“…The Sample set Partitioning based on joint X–Y distance (SPXY) algorithm was applied to improve representativeness of training subsets, and several classifiers were constructed, including SVM, RF, KNN, CNN, and ResNet. …”
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Supporting data for "Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution"
Published 2025“…To this end, this study, ''Using AI-based Deep Learning Algorithms for Nowcasting Cloud Evolution'', focuses on using AI-based deep learning algorithms for accurate nowcasting of cloud evolution. …”
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Study inclusion and exclusion flowchart.
Published 2025“…Relying solely on diagnostic codes for CAP surveillance leads to substantial under-detection; combining EHR data across multiple algorithms enhances identification accuracy. …”
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