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Showing 1 - 20 results of 20 for search '(( binary _ bayesian optimization algorithm ) OR ( single target path optimization algorithm ))', query time: 0.48s Refine Results
  1. 1
    Path planning results are synthesized by the VBAS algorithm to avoid a single regular obstacle.

    Path planning results are synthesized by the VBAS algorithm to avoid a single regular obstacle. by Qing Liang (654718)

    Published 2022
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  2. 2
    Path planning results are synthesized by the VBAS algorithm to avoid a single irregular obstacle.

    Path planning results are synthesized by the VBAS algorithm to avoid a single irregular obstacle. by Qing Liang (654718)

    Published 2022
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  3. 3
    Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things

    Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

    Published 2025
    “…Hence, Binary Black Widow Optimization Algorithm (BBWOA) is proposed in this manuscript to improve the BRBPNN classifier that detects intrusion precisely. …”
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  4. 4
    Comparison of path planning results by the conventional BAS algorithm on four different maps.

    Comparison of path planning results by the conventional BAS algorithm on four different maps. by Qing Liang (654718)

    Published 2022
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  5. 5
    Comparison of obstacle avoidance results between VBAS and APF algorithm.

    Comparison of obstacle avoidance results between VBAS and APF algorithm. by Qing Liang (654718)

    Published 2022
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  6. 6
    Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging

    Bayesian Spatial Binary Regression for Label Fusion in Structural Neuroimaging by D. Andrew Brown (6584837)

    Published 2021
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  7. 7
    Different plane moving paths.

    Different plane moving paths. by Yanlin Zhao (251552)

    Published 2024
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  8. 8
    Moving path on the same plane.

    Moving path on the same plane. by Yanlin Zhao (251552)

    Published 2024
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  9. 9
    Application of ABC SMC to the fitting of the binary flip with cusp model.

    Application of ABC SMC to the fitting of the binary flip with cusp model. by Elena Camacho-Aguilar (10906327)

    Published 2021
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  10. 10
    Bayesian sequential design for sensitivity experiments with hybrid responses

    Bayesian sequential design for sensitivity experiments with hybrid responses by Yuxia Liu (1779592)

    Published 2023
    “…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …”
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  11. 11
    Multiple locally optimal landscapes.

    Multiple locally optimal landscapes. by Shane Nowack (6786710)

    Published 2019
    “…(B)-(I) All eight of the unique, locally optimal landscapes arising from (A) via dominant minimal paths (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0217812#pone.0217812.t002" target="_blank">Table 2</a>). …”
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  12. 12
    Evolution of optimal search behaviour in Act cells is subject to constraints and trade-offs.

    Evolution of optimal search behaviour in Act cells is subject to constraints and trade-offs. by Inge M. N. Wortel (12085952)

    Published 2023
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  13. 13
    Probability graphical model of scMSI.

    Probability graphical model of scMSI. by Yuqian Liu (1413763)

    Published 2024
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  14. 14
    Identification of drugs targeting an indication and several associated phenotypes.

    Identification of drugs targeting an indication and several associated phenotypes. by Daniel Rivas-Barragan (9721575)

    Published 2020
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  15. 15
    Hopfield network minimizes mutation errors.

    Hopfield network minimizes mutation errors. by Oliver Attie (3841450)

    Published 2019
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  16. 16
    Image_2_Automated Steerable Path Planning for Deep Brain Stimulation Safeguarding Fiber Tracts and Deep Gray Matter Nuclei.jpg

    Image_2_Automated Steerable Path Planning for Deep Brain Stimulation Safeguarding Fiber Tracts and Deep Gray Matter Nuclei.jpg by Alice Segato (7137761)

    Published 2019
    “…An automatic path planner that accurately targets subthalamic nuclei (STN) and safeguards critical surrounding structures is still lacking. …”
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  17. 17
    Image_1_Automated Steerable Path Planning for Deep Brain Stimulation Safeguarding Fiber Tracts and Deep Gray Matter Nuclei.jpg

    Image_1_Automated Steerable Path Planning for Deep Brain Stimulation Safeguarding Fiber Tracts and Deep Gray Matter Nuclei.jpg by Alice Segato (7137761)

    Published 2019
    “…An automatic path planner that accurately targets subthalamic nuclei (STN) and safeguards critical surrounding structures is still lacking. …”
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  18. 18
    Image_3_Automated Steerable Path Planning for Deep Brain Stimulation Safeguarding Fiber Tracts and Deep Gray Matter Nuclei.jpg

    Image_3_Automated Steerable Path Planning for Deep Brain Stimulation Safeguarding Fiber Tracts and Deep Gray Matter Nuclei.jpg by Alice Segato (7137761)

    Published 2019
    “…An automatic path planner that accurately targets subthalamic nuclei (STN) and safeguards critical surrounding structures is still lacking. …”
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  19. 19
    WGCNA analysis and construction of a prognostic risk score based on CXCL9 + macrophage-related genes.

    WGCNA analysis and construction of a prognostic risk score based on CXCL9 + macrophage-related genes. by Bin Liang (228729)

    Published 2025
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  20. 20
    Performance comparison of all networks on the edge-connected pixel task.

    Performance comparison of all networks on the edge-connected pixel task. by Brett W. Larsen (12902597)

    Published 2022
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