Search alternatives:
implement modeling » element modeling (Expand Search), element modelling (Expand Search)
modeling algorithm » making algorithm (Expand Search)
study algorithm » wsindy algorithm (Expand Search), td3 algorithm (Expand Search), seu algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element study » relevant study (Expand Search), present study (Expand Search), recent study (Expand Search)
recent data » relevant data (Expand Search)
implement modeling » element modeling (Expand Search), element modelling (Expand Search)
modeling algorithm » making algorithm (Expand Search)
study algorithm » wsindy algorithm (Expand Search), td3 algorithm (Expand Search), seu algorithm (Expand Search)
data algorithm » data algorithms (Expand Search), update algorithm (Expand Search), atlas algorithm (Expand Search)
element study » relevant study (Expand Search), present study (Expand Search), recent study (Expand Search)
recent data » relevant data (Expand Search)
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Comparison of different optimization algorithms.
Published 2025Subjects: “…crayfish optimization algorithm…”
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The block diagram of the ASO algorithm implementation for inverse modeling.
Published 2025“…<p>The block diagram of the ASO algorithm implementation for inverse modeling.</p>…”
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Calculation algorithm implementing the proposed model.
Published 2025“…<p>Calculation algorithm implementing the proposed model.</p>…”
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Convergence curve of the DBO algorithm.
Published 2025“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”
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Real-time implementation of the proposed model.
Published 2025“…</p><p>Purpose</p><p>This study aims to introduce a novel, automated approach for CPM using YOLOv8, a state-of-the-art object detection algorithm, to enhance efficiency and accuracy in monitoring construction projects.…”
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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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Comparison of the optimal solutions between analytical model and genetic algorithm.
Published 2024Subjects: -
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Quadratic velocity elements.
Published 2025“…To enhance the precision of the proposed UB finite element method using a reduced element count, this study implements a mesh adaptation algorithm grounded in plastic dissipation. …”
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Quadratic velocity elements.
Published 2025“…To enhance the precision of the proposed UB finite element method using a reduced element count, this study implements a mesh adaptation algorithm grounded in plastic dissipation. …”
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Cost functions implemented in Neuroptimus.
Published 2024“…We used the common interface provided by Neuroptimus to conduct a detailed comparison of more than twenty different algorithms (and implementations) on six distinct benchmarks that represent typical scenarios in neuronal parameter search. …”
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The results of implementing the models.
Published 2024“…Radiomics features were extracted from each image and finally, the machine learning models were implemented on these features. The used machine learning algorithms are Gradient Tree Boosting (GBM), eXtreme Gradient Boosting (XGBoost), and Light GBM. …”