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Showing 181 - 200 results of 3,254 for search '(( algorithm brain function ) OR ((( algorithm python function ) OR ( algorithm based function ))))', query time: 0.47s Refine Results
  1. 181
    Computation time as a function of the sample size on the random graph dataset.

    Computation time as a function of the sample size on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  2. 182
    Computation time as a function of the number of variables on the chain graph dataset.

    Computation time as a function of the number of variables on the chain graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  3. 183
    Computation time as a function of the number of variables on the random graph dataset.

    Computation time as a function of the number of variables on the random graph dataset. by Tomokaze Shiratori (9635271)

    Published 2024
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  4. 184
    Benchmark test function result.

    Benchmark test function result. by HaoCheng Wang (6089567)

    Published 2025
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  5. 185
    Fixed multimodal test functions.

    Fixed multimodal test functions. by HaoCheng Wang (6089567)

    Published 2025
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  6. 186
    Run times of two algorithms.

    Run times of two algorithms. by Gourab Saha (8987405)

    Published 2025
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  7. 187
    Parameters to configure the multi-staged vascularization using the PDCCO algorithm.

    Parameters to configure the multi-staged vascularization using the PDCCO algorithm. by Eduardo G. Zilves (22209247)

    Published 2025
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  8. 188
    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finite element analysis coupled with user’s subroutine for changes in bone density.

    A detailed process of iterative simulation coupled with bone density algorithm; (a) a function of stimulus and related bone density changes, and (b) iterative calculations of finit... by Hassan Mehboob (8960273)

    Published 2025
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  9. 189
    Average execution time (in seconds) of different benchmark functions.

    Average execution time (in seconds) of different benchmark functions. by Jalal- ud-Din (21474307)

    Published 2025
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  10. 190
    Weighted cost results of FMM in the two triangulated manifolds TM-I and TM-II as functions of resolution.

    Weighted cost results of FMM in the two triangulated manifolds TM-I and TM-II as functions of resolution. by Tianjiao Wang (761650)

    Published 2024
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  11. 191
    Flowchart of the general algorithm for one trial.

    Flowchart of the general algorithm for one trial. by Junying Wang (509009)

    Published 2025
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  12. 192
    Experimental results of NAFPSO algorithm with pipeline complexity of 0.7.

    Experimental results of NAFPSO algorithm with pipeline complexity of 0.7. by Huichao Guo (14515171)

    Published 2025
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  13. 193
    Experimental results of NAFPSO algorithm with pipeline complexity of 0.5.

    Experimental results of NAFPSO algorithm with pipeline complexity of 0.5. by Huichao Guo (14515171)

    Published 2025
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  14. 194
    Experimental results of NAFPSO algorithm with pipeline complexity of 0.6.

    Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. by Huichao Guo (14515171)

    Published 2025
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  15. 195
    3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions.

    3D visualization of the Rastrigin function from the CEC 2019 benchmark test functions. by Mahmood A. Jumaah (22272371)

    Published 2025
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  16. 196
    Image 4_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm.pdf

    Image 4_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm.pdf by Jun Gao (203098)

    Published 2025
    “…A right ventricular function assessment model based on VExUS grading and the CART algorithm can effectively evaluate right ventricular performance and may serve as a useful tool in identifying venous congestion.…”
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  17. 197
    Image 1_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm.pdf

    Image 1_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm.pdf by Jun Gao (203098)

    Published 2025
    “…A right ventricular function assessment model based on VExUS grading and the CART algorithm can effectively evaluate right ventricular performance and may serve as a useful tool in identifying venous congestion.…”
    Save to List
    Saved in:
  18. 198
    Image 3_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm.pdf

    Image 3_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm.pdf by Jun Gao (203098)

    Published 2025
    “…A right ventricular function assessment model based on VExUS grading and the CART algorithm can effectively evaluate right ventricular performance and may serve as a useful tool in identifying venous congestion.…”
    Save to List
    Saved in:
  19. 199
    Image 2_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm.pdf

    Image 2_Construction of a right ventricular function assessment model in patients undergoing invasive mechanical ventilation based on VExUS grading and the classification and regression tree algorithm.pdf by Jun Gao (203098)

    Published 2025
    “…A right ventricular function assessment model based on VExUS grading and the CART algorithm can effectively evaluate right ventricular performance and may serve as a useful tool in identifying venous congestion.…”
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  20. 200
    Tuneable algorithm input parameters for the generation of placental size and shape and cord insertion with suggested literature-based estimates.

    Tuneable algorithm input parameters for the generation of placental size and shape and cord insertion with suggested literature-based estimates. by Diana C. de Oliveira (9220729)

    Published 2024
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