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Showing 1 - 20 results of 1,768 for search '(((( implementing modeling algorithm ) OR ( element rf algorithm ))) OR ( level coding algorithm ))', query time: 0.49s Refine Results
  1. 1
    The block diagram of the ASO algorithm implementation for inverse modeling.

    The block diagram of the ASO algorithm implementation for inverse modeling. by Ahmad Al-Talabi (21387479)

    Published 2025
    “…<p>The block diagram of the ASO algorithm implementation for inverse modeling.</p>…”
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  2. 2
    Calculation algorithm implementing the proposed model.

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

    Published 2025
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  3. 3
    Calculation algorithm implementing the proposed model.

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

    Published 2025
    “…<p>Calculation algorithm implementing the proposed model.</p>…”
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  4. 4
    ICEEMDAN algorithm steps with implementation details.

    ICEEMDAN algorithm steps with implementation details. by Yaopeng Han (22622718)

    Published 2025
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  5. 5
    SCADET algorithm parameter configuration (Python implementation).

    SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

    Published 2025
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  6. 6
    Parameter configuration for ChildEmoNet algorithm implementation.

    Parameter configuration for ChildEmoNet algorithm implementation. by Zhang Shanshan (22272359)

    Published 2025
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  7. 7
    (a) Proposed dynamic low RF-complexity DBF architecture.

    (a) Proposed dynamic low RF-complexity DBF architecture. by Usman Haider (12630481)

    Published 2025
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  8. 8
    A chart of associated parameters, along with various other miscellaneous parameters [39].

    A chart of associated parameters, along with various other miscellaneous parameters [39]. by Usman Haider (12630481)

    Published 2025
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  9. 9
    Flowchart of the study.

    Flowchart of the study. by Usman Haider (12630481)

    Published 2025
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  10. 10
    Number of selected antennas per group, NLOS street canyon scenario.

    Number of selected antennas per group, NLOS street canyon scenario. by Usman Haider (12630481)

    Published 2025
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  11. 11
    Channel capacity of MIMO system with variable .

    Channel capacity of MIMO system with variable . by Usman Haider (12630481)

    Published 2025
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  12. 12
    Channel capacity of MIMO system with NLOS street canyon scenario.

    Channel capacity of MIMO system with NLOS street canyon scenario. by Usman Haider (12630481)

    Published 2025
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  13. 13
    Channel capacity of MIMO system with LOS street canyon scenario.

    Channel capacity of MIMO system with LOS street canyon scenario. by Usman Haider (12630481)

    Published 2025
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  14. 14
    Probability of LOS models and average transmit correlation analysis for MIMO system in street canyon and shopping mall scenarios, (a) Probability of LOS models.

    Probability of LOS models and average transmit correlation analysis for MIMO system in street canyon and shopping mall scenarios, (a) Probability of LOS models. by Usman Haider (12630481)

    Published 2025
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  15. 15
    Statistical analysis of the (a) Percentage of several subarrays formed (same as the required number of RF chains).

    Statistical analysis of the (a) Percentage of several subarrays formed (same as the required number of RF chains). by Usman Haider (12630481)

    Published 2025
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  16. 16
    Number of selected antennas per group, LOS street canyon scenario.

    Number of selected antennas per group, LOS street canyon scenario. by Usman Haider (12630481)

    Published 2025
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  17. 17
    Vehicle dynamics model implemented in Simulink.

    Vehicle dynamics model implemented in Simulink. by Seung-Min Ryu (21463891)

    Published 2025
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  18. 18
    Main code.

    Main code. by Jingguo Bi (21439766)

    Published 2025
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  19. 19
    The results of implementing the models.

    The results of implementing the models. by Hanieh Alimiri Dehbaghi (20405015)

    Published 2024
    “…Radiomics features were extracted from each image and finally, the machine learning models were implemented on these features. The used machine learning algorithms are Gradient Tree Boosting (GBM), eXtreme Gradient Boosting (XGBoost), and Light GBM. …”
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  20. 20
    Conceptual framework for the implementation of the hybrid model.

    Conceptual framework for the implementation of the hybrid model. by Micanaldo Ernesto Francisco (18723706)

    Published 2024
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