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Showing 21 - 40 results of 3,227 for search '(( element method algorithm ) OR ((( data encoding algorithm ) OR ( based training algorithm ))))', query time: 0.55s Refine Results
  1. 21
    Table 1_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx

    Table 1_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

    Published 2025
    “…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”
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  2. 22
    Table 5_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx

    Table 5_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

    Published 2025
    “…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”
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  3. 23
    Table 6_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx

    Table 6_A novel lossless encoding algorithm for data compression–genomics data as an exemplar.xlsx by Anas Al-okaily (20601458)

    Published 2025
    “…In this study, a novel encoding algorithm is proposed, motivated by the compression of DNA data and associated characteristics. …”
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  4. 24
    S1 File - Enhanced audience sentiment analysis in IoT-integrated metaverse media communication

    S1 File - Enhanced audience sentiment analysis in IoT-integrated metaverse media communication by Hongtao Wang (570131)

    Published 2025
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  5. 25
    Hyperparameter and model configurations.

    Hyperparameter and model configurations. by Hongtao Wang (570131)

    Published 2025
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  6. 26
    Performance in best and worst case scenarios.

    Performance in best and worst case scenarios. by Hongtao Wang (570131)

    Published 2025
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  7. 27
    Datasets and experimental settings.

    Datasets and experimental settings. by Hongtao Wang (570131)

    Published 2025
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  8. 28
    Response time by scenario (ms).

    Response time by scenario (ms). by Hongtao Wang (570131)

    Published 2025
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  9. 29
    Ablation study: Component contribution analysis.

    Ablation study: Component contribution analysis. by Hongtao Wang (570131)

    Published 2025
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  10. 30
    Calculation algorithm implementing the proposed model.

    Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

    Published 2025
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  11. 31
    Calculation algorithm implementing the proposed model.

    Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

    Published 2025
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  12. 32
    Training results of each algorithm on the DOTA dataset.

    Training results of each algorithm on the DOTA dataset. by Xuhui Liu (546025)

    Published 2025
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  13. 33
    Operational mechanism diagram of deep reinforcement learning retrieval optimization module, based on the user interaction retrieval strategy optimization process, encodes the user query vector, historical interaction record and knowledge graph subgraph representation into state space, designs reward function, and trains the policy network through the proximal policy optimization algorithm (PPO) to optimize the retrieval strategy.

    Operational mechanism diagram of deep reinforcement learning retrieval optimization module, based on the user interaction retrieval strategy optimization process, encodes the user query vector, historical interaction record and knowledge graph subgraph representation into state space, designs reward function, and trains the policy network through the proximal policy optimization algorithm (PPO) to optimize the retrieval strategy. by Yali Chen (24494)

    Published 2025
    “…<p>Operational mechanism diagram of deep reinforcement learning retrieval optimization module, based on the user interaction retrieval strategy optimization process, encodes the user query vector, historical interaction record and knowledge graph subgraph representation into state space, designs reward function, and trains the policy network through the proximal policy optimization algorithm (PPO) to optimize the retrieval strategy.…”
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  14. 34
    Comparison of TodayNew with different intervals under FedAvg, FedProx and SCAFFOLD.

    Comparison of TodayNew with different intervals under FedAvg, FedProx and SCAFFOLD. by Pan Wang (198097)

    Published 2025
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  15. 35
    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD.

    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD. by Pan Wang (198097)

    Published 2025
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  16. 36
    Visualization Comparison Between Client Model with NO_EA.

    Visualization Comparison Between Client Model with NO_EA. by Pan Wang (198097)

    Published 2025
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  17. 37
    Comparison of FashionMNIST with different intervals under FedAvg, FedProx and SCAFFOLD.

    Comparison of FashionMNIST with different intervals under FedAvg, FedProx and SCAFFOLD. by Pan Wang (198097)

    Published 2025
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  18. 38
    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD.

    The accuracy of FashionMNIST dataset under FedAvg, FedProx, and SCAFFOLD. by Pan Wang (198097)

    Published 2025
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  19. 39
    Crossover operator.

    Crossover operator. by Pan Wang (198097)

    Published 2025
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  20. 40
    The accuracy of TodayNews dataset under FedAvg, FedProx, and SCAFFOLD.

    The accuracy of TodayNews dataset under FedAvg, FedProx, and SCAFFOLD. by Pan Wang (198097)

    Published 2025
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