بدائل البحث:
settings algorithms » sorting algorithms (توسيع البحث), hastings algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data settings » care settings (توسيع البحث), many settings (توسيع البحث)
settings algorithms » sorting algorithms (توسيع البحث), hastings algorithm (توسيع البحث)
method algorithm » network algorithm (توسيع البحث), means algorithm (توسيع البحث), mean algorithm (توسيع البحث)
elements method » element method (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data settings » care settings (توسيع البحث), many settings (توسيع البحث)
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Parameter Settings for competitive algorithms.
منشور في 2025"…The Grey Wolf Optimizer (GWO) is a well-known meta-heuristic algorithm rooted in swarm intelligence. It is widely used in various optimization problems due to its fast convergence and minimal parameter requirements. …"
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Algorithm and its parameter settings.
منشور في 2025"…To solve this problem, we propose a hybrid algorithm based on Improved Beetle Antennae Search (BAS), Aircraft Manoeuvre Boundary Point Identification algorithm, Adaptive Dynamic Integration (ADI) and Volterra series, called ADIBAS-Volterra. …"
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Minimal data set.
منشور في 2025"…In this paper, the column and constraint generation algorithm and strong duality theory are used to decompose the original problem into the linearized master problem and subproblem, which can improve the solving speed. …"
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Results on solving TSS using different evolutionary and greedy algorithms.
منشور في 2025"…<p>Results on solving TSS using different evolutionary and greedy algorithms.…"
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Comparison of planning results for different uncertainty quantification methods.
منشور في 2025الموضوعات: -
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Algorithm pseudocode.
منشور في 2025"…On the basis of the Retinex model, multi-level decomposition of brightness is carried out, and different filtering parameters are set to obtain multiple illumination and reflection images with different scale information; Using exponential function and Sigmoid function to process reflection images and illumination images separately, reducing external interference on images of different scales, and solving the difficulty of enhancing images with uneven illumination, high noise, low illumination, and loss of details. …"
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Comparison of different algorithms.
منشور في 2025"…Finally, the model is solved by the multi-objective optimization algorithm to obtain a series of maintenance solutions in the form of Pareto non-inferior solution sets. …"
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Compare topologies when using the WOA algorithm to solve the RNP problem by different methods.
منشور في 2025الموضوعات: -
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Compare topologies when using the MVO algorithm to solve the RNP problem by different methods.
منشور في 2025الموضوعات: -
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Minimal data set.
منشور في 2025"…First, Mamba-Like Linear Attention is introduced to design the C2f-MLLA module to improve the target feature representation capability of solar cell sheet defects; second, Bidirectional feature pyramid frequency aware feature fusion network is designed to enhance the recovery ability of target detail features as well as the fusion ability of image features; then ShapeIoU is used to solve the target aspect ratio misalignment problem and construct the improved MNS-YOLO network; finally, COA is utilized to adjust the parameters of the MNS-YOLO network. …"
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