يعرض 121 - 140 نتائج من 4,450 نتيجة بحث عن '(((( algorithm both function ) OR ( algorithm could function ))) OR ( algorithm python function ))*', وقت الاستعلام: 0.55s تنقيح النتائج
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    ADT: A Generalized Algorithm and Program for Beyond Born–Oppenheimer Equations of “<i>N</i>” Dimensional Sub-Hilbert Space حسب Koushik Naskar (7510592)

    منشور في 2020
    "…In order to overcome such shortcoming, we develop a generalized algorithm, “ADT” to generate the nonadiabatic equations through symbolic manipulation and to construct highly accurate diabatic surfaces for molecular processes involving excited electronic states. …"
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    PathOlOgics_RBCs Python Scripts.zip حسب Ahmed Elsafty (16943883)

    منشور في 2023
    "…<p dir="ltr">The first algorithm for segmentation and localization (see PathOlOgics_script_1; segment & localize using a pen) relied on manually tracing the borders of each cell using a digital pen tool on a big touchscreen display showing source images/patches. …"
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    Algorithm of the brightness scale calibration experiment. حسب Krzysztof Petelczyc (3954203)

    منشور في 2024
    "…<p>In the algorithm, the following variables were used: “I” denotes the current luminous intensity of the reference diode, “inc” denotes the current difference between reference and target diode luminous intensity; “cnt” is the current number of performed trials, while “correct” is a counter of correct answers in cnt trials, both of them are counted separately for every settings of I and inc. …"
  9. 129

    Gillespie algorithm simulation parameters. حسب Nicholas H. Vitale (20469289)

    منشور في 2024
    "…Both the ensemble and stochastic models presented in this work have been verified using Monte Carlo molecular dynamic simulations that utilize the Gillespie algorithm. …"
  10. 130

    Scheduling time of five algorithms. حسب Huichao Guo (14515171)

    منشور في 2025
    "…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"
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    Convergence speed of five algorithms. حسب Huichao Guo (14515171)

    منشور في 2025
    "…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …"
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    Multi-algorithm comparison figure. حسب Dawei Wang (471687)

    منشور في 2025
    "…A sophisticated optimization model has been developed to simulate the optimal operation of machinery, aiming to maximize equipment utilization efficiency while addressing the challenges posed by worker fatigue. An innovative algorithm, the improved hybrid gray wolf and whale algorithm fused with a penalty function for construction machinery optimization (IHWGWO), is introduced, incorporating a penalty function to handle constraints effectively. …"
  14. 134

    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy حسب Yujin Wu (2901128)

    منشور في 2021
    "…We also describe a novel hybrid searching algorithm that combines both molecular dynamics (MD)-based simulated annealing and genetic algorithm crossovers to address the enhanced sampling of the increased search space. …"
  15. 135

    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy حسب Yujin Wu (2901128)

    منشور في 2021
    "…We also describe a novel hybrid searching algorithm that combines both molecular dynamics (MD)-based simulated annealing and genetic algorithm crossovers to address the enhanced sampling of the increased search space. …"
  16. 136

    A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases حسب Maru Song (22593561)

    منشور في 2025
    "…Crucially, we propose fitness functions based on approximate measures of the wave function compactness, which enable inexpensive genetic algorithm searches. …"
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    The iteration curve of the test function. حسب Jian Kong (164512)

    منشور في 2024
    "…The directional preference algorithm could further provide more valuable solutions on the basis of adaptive genetic algorithms. …"