بدائل البحث:
modeling algorithm » making algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
complement rim4 » complementing rim4 (توسيع البحث), complement i (توسيع البحث)
rim4 algorithm » ii algorithm (توسيع البحث), rf algorithm (توسيع البحث), rl algorithm (توسيع البحث)
level modeling » novel modelling (توسيع البحث), element modeling (توسيع البحث)
modeling algorithm » making algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
complement rim4 » complementing rim4 (توسيع البحث), complement i (توسيع البحث)
rim4 algorithm » ii algorithm (توسيع البحث), rf algorithm (توسيع البحث), rl algorithm (توسيع البحث)
level modeling » novel modelling (توسيع البحث), element modeling (توسيع البحث)
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Convergence curve of the DBO algorithm.
منشور في 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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Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]....
منشور في 2025"…<p>Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0321100#pone.0321100.ref033" target="_blank">33</a>]. …"
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Element model generation method with geometric distribution errors
منشور في 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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Algorithmic experimental parameter design.
منشور في 2024"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"
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