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Showing 1 - 20 results of 142 for search '(( primary aim based optimization algorithm ) OR ( binary data structure optimization algorithm ))', query time: 0.71s Refine Results
  1. 1
    Routing policy based on path satisfaction.

    Routing policy based on path satisfaction. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  2. 2
    Flowchart of simple ant colony algorithm.

    Flowchart of simple ant colony algorithm. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  3. 3
    Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement

    Algorithmic differentiation improves the computational efficiency of OpenSim-based trajectory optimization of human movement by Antoine Falisse (6061601)

    Published 2019
    “…The primary aim of this study was to demonstrate the computational benefits of using AD instead of FD in OpenSim-based trajectory optimization of human movement. …”
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  4. 4
    The algorithm for the same-day surgery protocol.

    The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

    Published 2021
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  5. 5
    Data_Sheet_1_Crystal Structure Prediction of Binary Alloys via Deep Potential.PDF

    Data_Sheet_1_Crystal Structure Prediction of Binary Alloys via Deep Potential.PDF by Haidi Wang (9694004)

    Published 2020
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  6. 6
    Predicting Thermal Decomposition Temperature of Binary Imidazolium Ionic Liquid Mixtures from Molecular Structures

    Predicting Thermal Decomposition Temperature of Binary Imidazolium Ionic Liquid Mixtures from Molecular Structures by Hongpeng He (348094)

    Published 2021
    “…Both in silico design and data analysis descriptors and norm index were employed to encode the structural characteristics of binary IL mixtures. …”
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  7. 7
    Comparison of VCUG indication algorithms: Risk stratification criteria and predictive performance for therapeutic intervention.

    Comparison of VCUG indication algorithms: Risk stratification criteria and predictive performance for therapeutic intervention. by Tomohiro Inoguchi (22552798)

    Published 2025
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  8. 8
    Data_Sheet_1_Posiform planting: generating QUBO instances for benchmarking.pdf

    Data_Sheet_1_Posiform planting: generating QUBO instances for benchmarking.pdf by Georg Hahn (12530469)

    Published 2023
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  9. 9
    Business priorities.

    Business priorities. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  10. 10
    Topology of 14-node communication network.

    Topology of 14-node communication network. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  11. 11
    Changes of risk value under different parameters.

    Changes of risk value under different parameters. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  12. 12
    Performance of active and standby paths.

    Performance of active and standby paths. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  13. 13
    DATA.

    DATA. by Yang Yu (4292)

    Published 2025
    “…These enhancements aim to achieve optimal routing scheduling based on risk information. …”
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  14. 14
    Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization

    Secure MANET routing with blockchain-enhanced latent encoder coupled GANs and BEPO optimization by Sandeep Jagonda Patil (22048337)

    Published 2025
    “…The performance of the proposed LEGAN-BEPO-BCMANET technique attains 29.786%, 19.25%, 22.93%, 27.21%, 31.02%, 26.91%, and 25.61% greater throughput, compared to existing methods like Blockchain-based BATMAN protocol utilizing MANET with an ensemble algorithm (BATMAN-MANET), Block chain-based trusted distributed routing scheme with optimized dropout ensemble extreme learning neural network in MANET (DEELNN-MANET), A secured trusted routing utilizing structure of a new directed acyclic graph-blockchain in MANET internet of things environment (DAG-MANET), An Optimized Link State Routing Protocol with Blockchain Framework for Efficient Video-Packet Transmission and Security over MANET (OLSRP-MANET), Auto-metric Graph Neural Network based Blockchain Technology for Protected Dynamic Optimum Routing in MANET (AGNN-MANET) and Data security-based routing in MANETs under key management process (DSR-MANET) respectively.…”
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  15. 15
    Analysis and design of algorithms for the manufacturing process of integrated circuits

    Analysis and design of algorithms for the manufacturing process of integrated circuits by Sonia Fleytas (16856403)

    Published 2023
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  16. 16
    Fig 9 -

    Fig 9 - by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  17. 17
    Predictive performance indicators.

    Predictive performance indicators. by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  18. 18
    Fig 8 -

    Fig 8 - by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  19. 19
    GBO procedure.

    GBO procedure. by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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  20. 20
    LEO pseudocode.

    LEO pseudocode. by Mouncef El Marghichi (17328361)

    Published 2023
    “…The GBO minimizes a cost with the aim of selecting the optimal candidate for updating the SOH through a memory-fading forgetting factor. …”
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