Search alternatives:
algorithms would » algorithm could (Expand Search), algorithms based (Expand Search), algorithms used (Expand Search)
algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
would function » yield function (Expand Search)
algorithm a » algorithm _ (Expand Search), algorithm b (Expand Search), algorithms _ (Expand Search)
a function » _ function (Expand Search)
Showing 141 - 160 results of 15,688 for search '(( algorithms would function ) OR ((( algorithm python function ) OR ( algorithm a function ))))', query time: 1.13s Refine Results
  1. 141
    Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions.

    Proposed algorithm mean and standard deviation (StDev) versus compared algorithms for the benchmark functions. by El-Sayed M. El-kenawy (14581088)

    Published 2023
    Save to List
    Saved in:
  2. 142
    Water Chemistry beneath Graphene: Condensation of a Dense OH–H<sub>2</sub>O Phase under Graphene

    Water Chemistry beneath Graphene: Condensation of a Dense OH–H<sub>2</sub>O Phase under Graphene by Elin Grånäs (1290627)

    Published 2022
    “…Room temperature oxygen hydrogenation below graphene flakes supported by Ir(111) is investigated through a combination of X-ray photoelectron spectroscopy, scanning tunneling microscopy, and density functional theory calculations using an evolutionary search algorithm. …”
    Save to List
    Saved in:
  3. 143
    Information of nodes and pipes of NYN.

    Information of nodes and pipes of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  4. 144
    The topology of the NYN.

    The topology of the NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  5. 145
    The result of Wilcoxon signed-rand test.

    The result of Wilcoxon signed-rand test. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  6. 146
    The Simulation and optimization process of pipe diameter selection.

    The Simulation and optimization process of pipe diameter selection. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  7. 147
    Optional pipe diameter and unit price of NYN.

    Optional pipe diameter and unit price of NYN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  8. 148
    Optional pipe diameter and unit price of HN.

    Optional pipe diameter and unit price of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  9. 149
    The topology of HN.

    The topology of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  10. 150
    Information of nodes and pipes of HN.

    Information of nodes and pipes of HN. by Yi Tao (178829)

    Published 2022
    Subjects: “…evolutionary genetic algorithm…”
    Save to List
    Saved in:
  11. 151
    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms.

    Standard benchmark functions used for the experimentation of EOSA and other similar optimization algorithms. by Tehnan I. A. Mohamed (16846175)

    Published 2023
    Save to List
    Saved in:
  12. 152
    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages

    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

    Published 2024
    “…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”
    Save to List
    Saved in:
  13. 153
    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages

    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

    Published 2024
    “…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”
    Save to List
    Saved in:
  14. 154
    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages

    CageCavityCalc (<i>C</i>3): A Computational Tool for Calculating and Visualizing Cavities in Molecular Cages by Vicente Martí-Centelles (1422415)

    Published 2024
    “…Efficiently predicting such properties is critical for accelerating the discovery of novel functional cages. Herein, we introduce <i>CageCavityCalc</i> (<i>C</i>3), a Python-based tool for calculating the cavity size of molecular cages. …”
    Save to List
    Saved in:
  15. 155
    Dynamics of synaptic clustering due to the G-clusteron update rule.

    Dynamics of synaptic clustering due to the G-clusteron update rule. by Toviah Moldwin (10866708)

    Published 2021
    Save to List
    Saved in:
  16. 156
    The G-clusteron requires the weight and location update rules to solve the XOR problem from arbitrary initial conditions.

    The G-clusteron requires the weight and location update rules to solve the XOR problem from arbitrary initial conditions. by Toviah Moldwin (10866708)

    Published 2021
    Save to List
    Saved in:
  17. 157
    Exemplary usage of DDQR in the supply chain for various applications.

    Exemplary usage of DDQR in the supply chain for various applications. by Yujun Wang (1947196)

    Published 2023
    Save to List
    Saved in:
  18. 158
    Impact of POMCP parameters on the estimated value function.

    Impact of POMCP parameters on the estimated value function. by Benoîte de Saporta (20454662)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  19. 159
    Risk function of the controlled continuous time PDMP.

    Risk function of the controlled continuous time PDMP. by Benoîte de Saporta (20454662)

    Published 2024
    Subjects:
    Save to List
    Saved in:
  20. 160
    Schematic diagram of the TEAPS algorithm.

    Schematic diagram of the TEAPS algorithm. by Yoshiaki Kariya (13767985)

    Published 2022
    Save to List
    Saved in:

Search Tools: