Search alternatives:
estimation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), detection algorithm (Expand Search)
based optimization » whale optimization (Expand Search)
robust estimation » pose estimation (Expand Search), risk estimation (Expand Search)
based robust » based probes (Expand Search)
final based » linac based (Expand Search), final breed (Expand Search), animal based (Expand Search)
binary atp » binary data (Expand Search)
atp based » app based (Expand Search), rtp based (Expand Search), arts based (Expand Search)
estimation algorithm » optimization algorithms (Expand Search), maximization algorithm (Expand Search), detection algorithm (Expand Search)
based optimization » whale optimization (Expand Search)
robust estimation » pose estimation (Expand Search), risk estimation (Expand Search)
based robust » based probes (Expand Search)
final based » linac based (Expand Search), final breed (Expand Search), animal based (Expand Search)
binary atp » binary data (Expand Search)
atp based » app based (Expand Search), rtp based (Expand Search), arts based (Expand Search)
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Optimal scheduling model of microgrid based on improved dung beetle optimization algorithm
Published 2024“…<p>In view of the strong uncertainty and intermittency of distributed power sources in microgrids and the shortcomings of the traditional dung beetle optimizer (DBO) algorithm with slow convergence, poor robustness and ease of falling into a local optimum, an optimal scheduling model for microgrids based on the improved dung beetle optimization algorithm is proposed. …”
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Rank-Based Greedy Model Averaging for High-Dimensional Survival Data
Published 2022“…Our approach is flexible, computationally efficient, and robust against model misspecification, as it neither requires the correctness of a joint model nor involves the estimation of the transformation function. …”
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Overview of the Cell2Spatial algorithm.
Published 2025“…Feedforward neural network (FNN) was employed for cell pre-assignment to ST clusters (Step 6), and the Jonker-Volgenant algorithm iteratively mapped individual cells to specific spatial spots based on similarities and estimated cell counts (Step 7).…”
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Feature matching results of different methods.
Published 2025“…Second, the lightweight YOLOv8n model is integrated to detect and remove feature points in dynamic regions in real-time, effectively reducing the impact of dynamic interference on pose estimation. Finally, the shared matching Siamese network with a unique dual-branch feature fusion strategy and similarity optimization algorithm is proposed to enhance the accuracy of feature matching. …”
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The result of the object detection using YOLOv8n.
Published 2025“…Second, the lightweight YOLOv8n model is integrated to detect and remove feature points in dynamic regions in real-time, effectively reducing the impact of dynamic interference on pose estimation. Finally, the shared matching Siamese network with a unique dual-branch feature fusion strategy and similarity optimization algorithm is proposed to enhance the accuracy of feature matching. …”
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The framework of the 2HR-Net VSLAM network.
Published 2025“…Second, the lightweight YOLOv8n model is integrated to detect and remove feature points in dynamic regions in real-time, effectively reducing the impact of dynamic interference on pose estimation. Finally, the shared matching Siamese network with a unique dual-branch feature fusion strategy and similarity optimization algorithm is proposed to enhance the accuracy of feature matching. …”
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The ATE evaluation values of different SLAM.
Published 2025“…Second, the lightweight YOLOv8n model is integrated to detect and remove feature points in dynamic regions in real-time, effectively reducing the impact of dynamic interference on pose estimation. Finally, the shared matching Siamese network with a unique dual-branch feature fusion strategy and similarity optimization algorithm is proposed to enhance the accuracy of feature matching. …”
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The detailed process of the “Concat” program.
Published 2025“…Second, the lightweight YOLOv8n model is integrated to detect and remove feature points in dynamic regions in real-time, effectively reducing the impact of dynamic interference on pose estimation. Finally, the shared matching Siamese network with a unique dual-branch feature fusion strategy and similarity optimization algorithm is proposed to enhance the accuracy of feature matching. …”
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The flowchart of 2HR feature extraction.
Published 2025“…Second, the lightweight YOLOv8n model is integrated to detect and remove feature points in dynamic regions in real-time, effectively reducing the impact of dynamic interference on pose estimation. Finally, the shared matching Siamese network with a unique dual-branch feature fusion strategy and similarity optimization algorithm is proposed to enhance the accuracy of feature matching. …”
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The framework of 2HR-Net.
Published 2025“…Second, the lightweight YOLOv8n model is integrated to detect and remove feature points in dynamic regions in real-time, effectively reducing the impact of dynamic interference on pose estimation. Finally, the shared matching Siamese network with a unique dual-branch feature fusion strategy and similarity optimization algorithm is proposed to enhance the accuracy of feature matching. …”
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