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Showing 1 - 20 results of 319 for search '(( complement system algorithm ) OR ((( second rf algorithm ) OR ( neural coding algorithm ))))', query time: 0.61s Refine Results
  1. 1
    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code

    Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

    Published 2025
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  2. 2
    (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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  3. 3
    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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  4. 4
    Flowchart of the study.

    Flowchart of the study. by Usman Haider (12630481)

    Published 2025
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  5. 5
    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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  6. 6
    Channel capacity of MIMO system with variable .

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

    Published 2025
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  7. 7
    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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  8. 8
    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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  9. 9
    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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  10. 10
    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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  11. 11
    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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  12. 12
    Comparison of the EODA algorithm with existing algorithms in terms of recall.

    Comparison of the EODA algorithm with existing algorithms in terms of recall. by Sunil Kumar (102321)

    Published 2025
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  13. 13
    Comparison of the EODA algorithm with existing algorithms in terms of precision.

    Comparison of the EODA algorithm with existing algorithms in terms of precision. by Sunil Kumar (102321)

    Published 2025
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  14. 14
    Convergence behavior of different optimization algorithms as feature selectors for SR prediction for (a) dataset-1 and (b) dataset-2.

    Convergence behavior of different optimization algorithms as feature selectors for SR prediction for (a) dataset-1 and (b) dataset-2. by Ibrahim Al-Shourbaji (20460541)

    Published 2024
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  15. 15
    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score.

    Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. by Sunil Kumar (102321)

    Published 2025
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  16. 16
    Construction process of RF.

    Construction process of RF. by Xini Fang (20861990)

    Published 2025
    “…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …”
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  17. 17
    Data and code resources.

    Data and code resources. by Sam Hall-McMaster (10343795)

    Published 2025
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  18. 18
    The proposed algorithm of the outlier detection method.

    The proposed algorithm of the outlier detection method. by Sunil Kumar (102321)

    Published 2025
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  19. 19
    RF Tree and Confusion Matrix for Random Forest.

    RF Tree and Confusion Matrix for Random Forest. by Gaurav Sandeep Dave (21519884)

    Published 2025
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  20. 20
    The parameter setting of the evolutionary neural network.

    The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

    Published 2025
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