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Showing 161 - 180 results of 15,991 for search '(( algorithms based function ) OR ((( algorithm python function ) OR ( algorithm i function ))))', query time: 0.96s Refine Results
  1. 161
    3D SNMR kernel function of the Tx1–Tx4 transmit coils, with 1.6 As pulse moment.

    3D SNMR kernel function of the Tx1–Tx4 transmit coils, with 1.6 As pulse moment. by Hanbo Chen (722038)

    Published 2022
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  2. 162
    The algorithm for achieving the research objectives illustrating the process of developing a mathematical model of the braking moment as a function of tire deformation.

    The algorithm for achieving the research objectives illustrating the process of developing a mathematical model of the braking moment as a function of tire deformation. by Bartosz Wieczorek (8098352)

    Published 2025
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  3. 163
    Performance comparison of FBP variants on MIGD for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10).

    Performance comparison of FBP variants on MIGD for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10). by Qingyang Zhang (626047)

    Published 2021
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  4. 164
    Performance comparison of FBP variants on MIGD for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10).

    Performance comparison of FBP variants on MIGD for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10). by Qingyang Zhang (626047)

    Published 2021
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  5. 165
    Performance comparison of FBP variants on MIGD for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10).

    Performance comparison of FBP variants on MIGD for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10). by Qingyang Zhang (626047)

    Published 2021
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  6. 166
    Performance comparison of FBP variants on MIGD for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10).

    Performance comparison of FBP variants on MIGD for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10). by Qingyang Zhang (626047)

    Published 2021
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  7. 167
    The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3, 6, 9.

    The signal detection algorithm for constructing a neurometric function (the probability of segregation as a function of time) generates acceptable buildup fits at <i>DF</i> = 1, 3, 6, 9. by Quynh-Anh Nguyen (847240)

    Published 2020
    “…Lower panel: The signal detection algorithm constructs neurometric functions using numerical data from all <i>N</i><sub><i>in</i></sub> neuronal units. …”
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  8. 168
    Inverse Design of Tetracene Polymorphs with Enhanced Singlet Fission Performance by Property-Based Genetic Algorithm Optimization

    Inverse Design of Tetracene Polymorphs with Enhanced Singlet Fission Performance by Property-Based Genetic Algorithm Optimization by Rithwik Tom (6421487)

    Published 2023
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  9. 169
    Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy

    Algorithmic assessment reveals functional implications of GABRD gene variants linked to idiopathic generalized epilepsy by Ayla Arslan (17943365)

    Published 2024
    “…Initially, separate algorithms based on sequence homology are utilized to assess this variant set. …”
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  10. 170
    Functional enrichment results for the local module exploited for the seed gene <i>ECT2</i>.

    Functional enrichment results for the local module exploited for the seed gene <i>ECT2</i>. by Ehsan Pournoor (11250711)

    Published 2021
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  11. 171
    Performance of the smooth-index algorithm for matrices with different densities.

    Performance of the smooth-index algorithm for matrices with different densities. by Alexander Borst (32619)

    Published 2024
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  12. 172
    The confusion matrix of the different algorithms.

    The confusion matrix of the different algorithms. by Qiushi Wang (417314)

    Published 2024
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  13. 173
    Mean and standard deviation values of MIGD obtained by five algorithm for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10).

    Mean and standard deviation values of MIGD obtained by five algorithm for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10). by Qingyang Zhang (626047)

    Published 2021
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  14. 174
    Mean and standard deviation values of MSP obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10).

    Mean and standard deviation values of MSP obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10). by Qingyang Zhang (626047)

    Published 2021
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  15. 175
    Mean and standard deviation values of MSP obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,20).

    Mean and standard deviation values of MSP obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,20). by Qingyang Zhang (626047)

    Published 2021
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  16. 176
    Mean and standard deviation values of MHV obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (5,20).

    Mean and standard deviation values of MHV obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (5,20). by Qingyang Zhang (626047)

    Published 2021
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  17. 177
    Mean and standard deviation values of MHV obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10).

    Mean and standard deviation values of MHV obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,10). by Qingyang Zhang (626047)

    Published 2021
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  18. 178
    Mean and standard deviation values of MHV obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,20).

    Mean and standard deviation values of MHV obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,20). by Qingyang Zhang (626047)

    Published 2021
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  19. 179
    Mean and standard deviation values of MSP obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (5,20).

    Mean and standard deviation values of MSP obtained by five algorithms for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (5,20). by Qingyang Zhang (626047)

    Published 2021
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  20. 180
    Mean and standard deviation values of MIGD obtained by five algorithm for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,20).

    Mean and standard deviation values of MIGD obtained by five algorithm for (<i>n</i><sub><i>t</i></sub>, <i>τ</i><sub><i>t</i></sub>) = (10,20). by Qingyang Zhang (626047)

    Published 2021
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