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location algorithm » selection algorithm (Expand Search), encryption algorithm (Expand Search), correction algorithm (Expand Search)
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Showing 1 - 20 results of 139 for search 'multiple targets location algorithm', query time: 0.22s Refine Results
  1. 1
    Figures for Manuscript Comparison of Machine Learning and Electrical Resistivity Arrays to Inverse Modeling for Locating and Characterizing Subsurface Targets

    Figures for Manuscript Comparison of Machine Learning and Electrical Resistivity Arrays to Inverse Modeling for Locating and Characterizing Subsurface Targets by AHSAN JAMIL (17180641)

    Published 2023
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  2. 2
    Location of the study area (cited from Zhu et al., [24]).

    Location of the study area (cited from Zhu et al., [24]). by Yang Yang (45629)

    Published 2022
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  3. 3
    G-clusteron model and synaptic location update rule.

    G-clusteron model and synaptic location update rule. by Toviah Moldwin (10866708)

    Published 2021
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  4. 4
    Locations of test sites.

    Locations of test sites. by Qinghua Li (398885)

    Published 2024
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  5. 5
    LICAR: An Application for Isotopic Correction of Targeted Lipidomic Data Acquired with Class-Based Chromatographic Separations Using Multiple Reaction Monitoring

    LICAR: An Application for Isotopic Correction of Targeted Lipidomic Data Acquired with Class-Based Chromatographic Separations Using Multiple Reaction Monitoring by Liang Gao (368796)

    Published 2021
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  6. 6
    LICAR: An Application for Isotopic Correction of Targeted Lipidomic Data Acquired with Class-Based Chromatographic Separations Using Multiple Reaction Monitoring

    LICAR: An Application for Isotopic Correction of Targeted Lipidomic Data Acquired with Class-Based Chromatographic Separations Using Multiple Reaction Monitoring by Liang Gao (368796)

    Published 2021
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  7. 7
    LICAR: An Application for Isotopic Correction of Targeted Lipidomic Data Acquired with Class-Based Chromatographic Separations Using Multiple Reaction Monitoring

    LICAR: An Application for Isotopic Correction of Targeted Lipidomic Data Acquired with Class-Based Chromatographic Separations Using Multiple Reaction Monitoring by Liang Gao (368796)

    Published 2021
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  8. 8
    Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey.

    Attack and defense behaviors with the sensory–motor algorithm between multiple predators and prey. by Hiroyuki Ichijo (13891153)

    Published 2025
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  9. 9
    The G-clusteron requires the weight and location update rules to solve the XOR problem from arbitrary initial conditions.

    The G-clusteron requires the weight and location update rules to solve the XOR problem from arbitrary initial conditions. by Toviah Moldwin (10866708)

    Published 2021
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  10. 10
    The parameter Identity of the Smith-Waterman algorithm in the quantitative measurement of homology.

    The parameter Identity of the Smith-Waterman algorithm in the quantitative measurement of homology. by Ehsan Maleki (14149418)

    Published 2022
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  11. 11
    The parameter Similarity of the Smith-Waterman algorithm in the quantitative measurement of homology.

    The parameter Similarity of the Smith-Waterman algorithm in the quantitative measurement of homology. by Ehsan Maleki (14149418)

    Published 2022
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  12. 12
    Validation analyses with multiple cohorts of datasets and characterization of genes located in regions with predicted CNV events.

    Validation analyses with multiple cohorts of datasets and characterization of genes located in regions with predicted CNV events. by Deng Wu (805710)

    Published 2024
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  13. 13
    The parameter Alignment Score of the Smith-Waterman algorithm in the quantitative measurement of homology.

    The parameter Alignment Score of the Smith-Waterman algorithm in the quantitative measurement of homology. by Ehsan Maleki (14149418)

    Published 2022
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  14. 14
    Hardware configuration and operating environment.

    Hardware configuration and operating environment. by Zhi-Ben Yin (17743139)

    Published 2024
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  15. 15
    Deformable convolution introduced into SSD networks.

    Deformable convolution introduced into SSD networks. by Zhi-Ben Yin (17743139)

    Published 2024
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  16. 16
    Image acquisition equipment.

    Image acquisition equipment. by Zhi-Ben Yin (17743139)

    Published 2024
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  17. 17
    Comparison of confusion matrices for different methods.

    Comparison of confusion matrices for different methods. by Zhi-Ben Yin (17743139)

    Published 2024
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  18. 18
    The mAP@50 values of black spot disease and jujube at different DCN embedding positions.

    The mAP@50 values of black spot disease and jujube at different DCN embedding positions. by Zhi-Ben Yin (17743139)

    Published 2024
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  19. 19
    Loss and accuracy plots for deformable convolution positions.

    Loss and accuracy plots for deformable convolution positions. by Zhi-Ben Yin (17743139)

    Published 2024
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  20. 20
    Error statistics between predicted and true positions.

    Error statistics between predicted and true positions. by Zhi-Ben Yin (17743139)

    Published 2024
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