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Showing 1 - 20 results of 21 for search '(( lines based wolf optimization algorithm ) OR ( binary image global optimization algorithm ))', query time: 0.46s Refine Results
  1. 1
    The confidence curve of a binary image.

    The confidence curve of a binary image. by Dingming Yang (8505990)

    Published 2022
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  2. 2
    The confidence change of the binary image after iteration.

    The confidence change of the binary image after iteration. by Dingming Yang (8505990)

    Published 2022
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  3. 3
    Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale.

    Illustration of the transformed binary images of normal, benign, and malignant samples into grayscale. by Tehnan I. A. Mohamed (16846175)

    Published 2023
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  4. 4
    Performance on GradEva.

    Performance on GradEva. by Jamilu Yahaya (18563445)

    Published 2024
    “…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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  5. 5
    The considered test problems.

    The considered test problems. by Jamilu Yahaya (18563445)

    Published 2024
    “…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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  6. 6
    Performance on FunEva.

    Performance on FunEva. by Jamilu Yahaya (18563445)

    Published 2024
    “…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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  7. 7
    Performance on Iter.

    Performance on Iter. by Jamilu Yahaya (18563445)

    Published 2024
    “…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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  8. 8
    Continuation of Table 2.

    Continuation of Table 2. by Jamilu Yahaya (18563445)

    Published 2024
    “…The sequences generated by our algorithm identify points that satisfy the first-order necessary condition for Pareto optimality. …”
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  9. 9
    Image1_Applying the Hubbard-Stratonovich Transformation to Solve Scheduling Problems Under Inequality Constraints With Quantum Annealing.TIF

    Image1_Applying the Hubbard-Stratonovich Transformation to Solve Scheduling Problems Under Inequality Constraints With Quantum Annealing.TIF by Sizhuo Yu (11429743)

    Published 2021
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  10. 10
    Image3_Applying the Hubbard-Stratonovich Transformation to Solve Scheduling Problems Under Inequality Constraints With Quantum Annealing.TIF

    Image3_Applying the Hubbard-Stratonovich Transformation to Solve Scheduling Problems Under Inequality Constraints With Quantum Annealing.TIF by Sizhuo Yu (11429743)

    Published 2021
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  11. 11
    Image2_Applying the Hubbard-Stratonovich Transformation to Solve Scheduling Problems Under Inequality Constraints With Quantum Annealing.TIF

    Image2_Applying the Hubbard-Stratonovich Transformation to Solve Scheduling Problems Under Inequality Constraints With Quantum Annealing.TIF by Sizhuo Yu (11429743)

    Published 2021
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  12. 12
    Generalized Tensor Decomposition With Features on Multiple Modes

    Generalized Tensor Decomposition With Features on Multiple Modes by Jiaxin Hu (1327875)

    Published 2021
    “…An efficient alternating optimization algorithm with provable spectral initialization is further developed. …”
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  13. 13
    Thesis-RAMIS-Figs_Slides

    Thesis-RAMIS-Figs_Slides by Felipe Santibañez-Leal (10967991)

    Published 2024
    “…<br><br>Finally, although the developed concepts, ideas and algorithms have been developed for inverse problems in geostatistics, the results are applicable to a wide range of disciplines where similar sampling problems need to be faced, included but not limited to design of communication networks, optimal integration and communication of swarms of robots and drones, remote sensing.…”
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  14. 14
    Table_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf

    Table_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf by Wenchao Zhang (1324959)

    Published 2021
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  15. 15
    Table_2_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf

    Table_2_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf by Wenchao Zhang (1324959)

    Published 2021
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  16. 16
    Presentation_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf

    Presentation_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf by Wenchao Zhang (1324959)

    Published 2021
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  17. 17
    Table_3_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf

    Table_3_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.pdf by Wenchao Zhang (1324959)

    Published 2021
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  18. 18
    Data_Sheet_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.zip

    Data_Sheet_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.zip by Wenchao Zhang (1324959)

    Published 2021
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  19. 19
    Image_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.tif

    Image_1_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.tif by Wenchao Zhang (1324959)

    Published 2021
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  20. 20
    Data_Sheet_3_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.zip

    Data_Sheet_3_Distinguishing HapMap Accessions Through Recursive Set Partitioning in Hierarchical Decision Trees.zip by Wenchao Zhang (1324959)

    Published 2021
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