Search alternatives:
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm time » algorithm i (Expand Search), algorithm ai (Expand Search), algorithm pre (Expand Search)
time function » sine function (Expand Search), like function (Expand Search), tissue function (Expand Search)
algorithm 1 » algorithm _ (Expand Search), algorithms _ (Expand Search), algorithm 8217 (Expand Search)
1 function » _ function (Expand Search), a function (Expand Search)
Showing 161 - 180 results of 14,334 for search '(((( algorithm time function ) OR ( algorithm 1 function ))) OR ( algorithm python function ))', query time: 0.53s Refine Results
  1. 161
    The performance evaluation of various image contrast enhancement approaches using test images 1.

    The performance evaluation of various image contrast enhancement approaches using test images 1. by Xiaowen Zhang (83669)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  2. 162
    Curve of step response signal of 6 algorithms.

    Curve of step response signal of 6 algorithms. by Guangwei Liu (181992)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  3. 163
    S1 Data -

    S1 Data - by Qi Song (121209)

    Published 2021
    Subjects:
    Save to List
    Saved in:
  4. 164
    Fixation time on slow oriented graphs.

    Fixation time on slow oriented graphs. by David A. Brewster (17118328)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  5. 165
    Pictorial representation of the edge-cutting algorithm.

    Pictorial representation of the edge-cutting algorithm. by Pratik Mullick (12851011)

    Published 2022
    Save to List
    Saved in:
  6. 166
    Discriminant function analysis results represented in multivariate space.

    Discriminant function analysis results represented in multivariate space. by Thiago Orion Simões Amorim (6808244)

    Published 2019
    Subjects:
    Save to List
    Saved in:
  7. 167
    IDRAS algorithm outline.

    IDRAS algorithm outline. by Ron Teichner (21492434)

    Published 2025
    Save to List
    Saved in:
  8. 168
    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to right respectively to verify rotation invariance with their corresponding curve-fitted data.

    Binary leaf image rotated anti-clock wise from the origin degree to 40<sup><i>o</i></sup>, 80<sup><i>o</i></sup>, 120<sup><i>o</i></sup>, and 160<sup><i>o</i></sup> from left to ri... by Ali Ahmed (2567584)

    Published 2020
    Subjects:
    Save to List
    Saved in:
  9. 169
    Ping-Pong percentage versus number of time samples.

    Ping-Pong percentage versus number of time samples. by Nada Ahmed Ezz-Eldien (17396553)

    Published 2023
    Save to List
    Saved in:
  10. 170
    S1 Data -

    S1 Data - by Dingming Yang (8505990)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  11. 171
    Comparison between simulations for all algorithms and for all cases (1, 2 and 3).

    Comparison between simulations for all algorithms and for all cases (1, 2 and 3). by Rutinaldo Aguiar Nascimento (14259594)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  12. 172
    Elapsed time of algorithms on benchmark functions.

    Elapsed time of algorithms on benchmark functions. by Muhammad Zubair Rehman (11243478)

    Published 2021
    “…<p>Elapsed time of algorithms on benchmark functions.</p>…”
    Save to List
    Saved in:
  13. 173
    Cophenetic distances under various <i>L</i><sub><i>p</i></sub> norms and contribution functions.

    Cophenetic distances under various <i>L</i><sub><i>p</i></sub> norms and contribution functions. by Paweł Górecki (3285255)

    Published 2025
    Save to List
    Saved in:
  14. 174
    Fig 1 - Fusing multisensory signals across channels and time

    Fig 1 - Fusing multisensory signals across channels and time by Swathi Anil (17382903)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  15. 175
    Table 1 - Fusing multisensory signals across channels and time

    Table 1 - Fusing multisensory signals across channels and time by Swathi Anil (17382903)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  16. 176
    The details of the Scelestial algorithm.

    The details of the Scelestial algorithm. by Mohammad-Hadi Foroughmand-Araabi (6658772)

    Published 2022
    “…<p>The inputs to the Scelestial algorithm are a) a set of sequences <i>S</i>, b) the degree of restriction of the restricted Steiner tree <i>k</i>. …”
    Save to List
    Saved in:
  17. 177
    On-Demand Optimization of Colorimetric Gas Sensors Using a Knowledge-Aware Algorithm-Driven Robotic Experimental Platform

    On-Demand Optimization of Colorimetric Gas Sensors Using a Knowledge-Aware Algorithm-Driven Robotic Experimental Platform by Zhehong Ai (17937324)

    Published 2024
    Subjects: “…customized multiobjective functions…”
    Save to List
    Saved in:
  18. 178
    Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures.

    Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures. by Kevin Sawade (16726527)

    Published 2023
    “…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”
    Save to List
    Saved in:
  19. 179
    Parameter definitions and estimation for functions <i>c</i><sub><i>i</i></sub>(<i>t</i>) and <i>q</i><sub><i>i</i></sub>(<i>t</i>) (i = 1,2,3).

    Parameter definitions and estimation for functions <i>c</i><sub><i>i</i></sub>(<i>t</i>) and <i>q</i><sub><i>i</i></sub>(<i>t</i>) (i = 1,2,3). by Mengqi He (5753525)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  20. 180
    The value of the contrast function <i>J</i><sub><i>K</i></sub> for 1 ≤ <i>K</i> ≤ <i>K</i><sub><i>max</i></sub> = 30 for House 55.

    The value of the contrast function <i>J</i><sub><i>K</i></sub> for 1 ≤ <i>K</i> ≤ <i>K</i><sub><i>max</i></sub> = 30 for House 55. by Yan Wang (15435)

    Published 2020
    Subjects:
    Save to List
    Saved in:

Search Tools: