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Showing 101 - 120 results of 12,644 for search '(((( algorithm 1 function ) OR ( algorithm phase function ))) OR ( algorithm python function ))*', query time: 0.61s Refine Results
  1. 101
    Schematic of the designed ROSA network, including power division, BFN, pase compensation and phase shifter units, for which the geometry parameters are L-PD = 17.54, L-BFN = 84.5, L-PC = 7.75, L-Ant. = 7.5, L-CC. = 8.9, W-feed = 2.3, L-p = 4.3, W-Ant. = 7.5, W-Track = 0.39, W-CC. = 8.9, W-P = 3.9, and tsub = 0.127 all in the unit of mm.

    Schematic of the designed ROSA network, including power division, BFN, pase compensation and phase shifter units, for which the geometry parameters are L-PD = 17.54, L-BFN = 84.5,... by Maryam Shadi (14237349)

    Published 2022
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  2. 102
    Fig 9 -

    Fig 9 - by Maryam Shadi (14237349)

    Published 2022
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  3. 103
    Fig 5 -

    Fig 5 - by Maryam Shadi (14237349)

    Published 2022
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  4. 104
    Fig 3 -

    Fig 3 - by Maryam Shadi (14237349)

    Published 2022
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  5. 105
    Fig 8 -

    Fig 8 - by Maryam Shadi (14237349)

    Published 2022
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  6. 106
    Fig 6 -

    Fig 6 - by Maryam Shadi (14237349)

    Published 2022
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  7. 107
    Fig 11 -

    Fig 11 - by Maryam Shadi (14237349)

    Published 2022
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  8. 108
    Guideline of the proposed methodology.

    Guideline of the proposed methodology. by Maryam Shadi (14237349)

    Published 2022
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  9. 109
    Scatter plots showing the relationship between inter-site |Δθ| in high-<i>q</i> (y-axis) and low-<i>q</i> (x-axis) states for representative frequencies (columns) and the five behavioral conditions (row pairs).

    Scatter plots showing the relationship between inter-site |Δθ| in high-<i>q</i> (y-axis) and low-<i>q</i> (x-axis) states for representative frequencies (columns) and the five beha... by Melisa Menceloglu (7610213)

    Published 2024
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  10. 110
    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling

    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

    Published 2019
    “…This program implements the “modeling by satisfaction of spatial restraints” strategy and its core algorithm has not been altered significantly since the early 1990s. …”
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  11. 111
    <i>E</i><sub>1</sub>(<i>m</i>)~<i>m</i> and <i>E</i><sub>2</sub>(<i>m</i>)~<i>m</i> curves for the observed displacement data series of the PL13-2.

    <i>E</i><sub>1</sub>(<i>m</i>)~<i>m</i> and <i>E</i><sub>2</sub>(<i>m</i>)~<i>m</i> curves for the observed displacement data series of the PL13-2. by Mingjun Li (178925)

    Published 2022
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  12. 112
    <i>E</i><sub>1</sub>(<i>m</i>)~<i>m</i> and <i>E</i><sub>2</sub>(<i>m</i>)~<i>m</i> curves for the observed displacement data series of the PL13-3.

    <i>E</i><sub>1</sub>(<i>m</i>)~<i>m</i> and <i>E</i><sub>2</sub>(<i>m</i>)~<i>m</i> curves for the observed displacement data series of the PL13-3. by Mingjun Li (178925)

    Published 2022
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  13. 113
    Fig 10 -

    Fig 10 - by Tuan Anh Pham (1346049)

    Published 2020
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  14. 114
    The convergence curves of <i>F</i><sub>1</sub>(<i>x</i>).

    The convergence curves of <i>F</i><sub>1</sub>(<i>x</i>). by Mingjun Li (178925)

    Published 2022
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  15. 115
    <i>I</i>(<i>τ</i>) ~ <i>τ</i> curve for the observed displacement data series of the PL13-3.

    <i>I</i>(<i>τ</i>) ~ <i>τ</i> curve for the observed displacement data series of the PL13-3. by Mingjun Li (178925)

    Published 2022
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  16. 116
    <i>I</i>(<i>τ</i>) ~ <i>τ</i> curve for the observed displacement data series of the PL13-2.

    <i>I</i>(<i>τ</i>) ~ <i>τ</i> curve for the observed displacement data series of the PL13-2. by Mingjun Li (178925)

    Published 2022
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  17. 117
    Three-dimensional graph of <i>F</i><sub>1</sub>(<i>x</i>).

    Three-dimensional graph of <i>F</i><sub>1</sub>(<i>x</i>). by Mingjun Li (178925)

    Published 2022
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  18. 118
    Inter-site temporal power correlations (top row), average powers (middle row), and inter-site-pair correlations between inter-site power correlation and average power (bottom row) in high-<i>q</i> (red) and low-<i>q</i> (blue) states for long-distance connections (<i>d</i> = 1.5–2) in the stable low-|Δθ| (left columns), stable high-|Δθ| (middle columns), and shifting-|Δθ| (right columns) networks as a function of frequency for the five behavioral conditions (column triplets).

    Inter-site temporal power correlations (top row), average powers (middle row), and inter-site-pair correlations between inter-site power correlation and average power (bottom row)... by Melisa Menceloglu (7610213)

    Published 2024
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  19. 119
    The convergence curves of <i>F</i><sub>9</sub>(<i>x</i>).

    The convergence curves of <i>F</i><sub>9</sub>(<i>x</i>). by Mingjun Li (178925)

    Published 2022
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  20. 120
    The convergence curves of <i>F</i><sub>6</sub>(<i>x</i>).

    The convergence curves of <i>F</i><sub>6</sub>(<i>x</i>). by Mingjun Li (178925)

    Published 2022
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