Showing 161 - 180 results of 258 for search '(( algorithm ((pre function) OR (spread function)) ) OR ( algorithm python function ))*', query time: 0.43s Refine Results
  1. 161
  2. 162

    Overview of the research process. by Pedro Fong (2378413)

    Published 2025
    “…We used the automated docking suite GOLD v5.5 with the genetic algorithm to simulate molecular docking and predict the protein-ligand binding modes, and the ChemPLP empirical scoring function to estimate the binding affinities of 2,115 FDA-approved drugs to the human Ca<sub>v</sub>3.1 channel. …”
  3. 163

    Hippocampal and cortical activity reflect early hyperexcitability in an Alzheimer's mouse model by Marina Diachenko (19739092)

    Published 2025
    “…</p><p dir="ltr">All data are available upon request. The standalone Python implementation of the fE/I algorithm is available under a CC-BY-NC-SA license at <a href="https://github.com/arthur-ervin/crosci" target="_blank">https://github.com/arthur-ervin/crosci</a>. …”
  4. 164
  5. 165

    S1 Graphical abstract - by José M. Rivera-Arbeláez (12418512)

    Published 2025
    “…<div><p>Engineered heart tissues (EHTs) have shown great potential in recapitulating tissue organization, functions, and cell-cell interactions of the human heart <i>in vitro</i>. …”
  6. 166

    fNIRS signals recording procedure. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  7. 167

    PAM graphs of the runs in Strategy 3. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  8. 168

    PAM graph. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  9. 169

    Labeling strategy. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  10. 170

    Decomposition of the fNIRS signal using ICEEMDAN. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  11. 171

    Strategy 1 and Strategy 3 trial distribution. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  12. 172

    Strategy 2 trial distribution. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  13. 173

    Detectors, sources, and channels. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  14. 174

    Block diagram of the proposed method. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  15. 175

    Interpolated fNIRS signal. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  16. 176

    Triple window shifting operation. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  17. 177

    Experimental flowchart. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  18. 178

    PAM graphs of the runs in Strategy 1. by Ural Akincioglu (21772538)

    Published 2025
    “…In the pre-processing stage, intrinsic mode functions of the signals were obtained using the ICEEMDAN algorithm. …”
  19. 179
  20. 180

    BOPIM: Bayesian Optimization for Influence Maximization on Temporal Networks by Eric Yanchenko (3266514)

    Published 2025
    “…<p>The goal of influence maximization (IM) is to select a small set of seed nodes which maximizes the spread of influence on a network. In this work, we propose <math><mrow>BOPIM</mrow></math>, a Bayesian Optimization (BO) algorithm for IM on temporal networks. …”