Showing 701 - 720 results of 2,904 for search '(( algorithm from function ) OR ((( algorithm python function ) OR ( algorithm both function ))))', query time: 0.52s Refine Results
  1. 701

    S1 File - by Xihao Shen (20347942)

    Published 2024
    “…After integrating Senescence-Related Genes (SRGs) from multiple established databases, differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning algorithms were applied to identify predictive SRGs (pSRGs). …”
  2. 702

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
    “…Numerous approaches to assessing the structural fit of a ligand exist, ranging from simple scoring functions to more elaborate free energy calculations. …”
  3. 703

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
    “…Numerous approaches to assessing the structural fit of a ligand exist, ranging from simple scoring functions to more elaborate free energy calculations. …”
  4. 704

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
    “…Numerous approaches to assessing the structural fit of a ligand exist, ranging from simple scoring functions to more elaborate free energy calculations. …”
  5. 705

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
    “…Numerous approaches to assessing the structural fit of a ligand exist, ranging from simple scoring functions to more elaborate free energy calculations. …”
  6. 706

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
    “…Numerous approaches to assessing the structural fit of a ligand exist, ranging from simple scoring functions to more elaborate free energy calculations. …”
  7. 707

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
    “…Numerous approaches to assessing the structural fit of a ligand exist, ranging from simple scoring functions to more elaborate free energy calculations. …”
  8. 708

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
    “…Numerous approaches to assessing the structural fit of a ligand exist, ranging from simple scoring functions to more elaborate free energy calculations. …”
  9. 709

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
    “…Numerous approaches to assessing the structural fit of a ligand exist, ranging from simple scoring functions to more elaborate free energy calculations. …”
  10. 710

    Comparison of Molecular Recognition in Docking Versus Experimental CSD and PDB Data by Andreas Tosstorff (8250999)

    Published 2025
    “…Numerous approaches to assessing the structural fit of a ligand exist, ranging from simple scoring functions to more elaborate free energy calculations. …”
  11. 711

    6 data sets included in this study. by Xihao Shen (20347942)

    Published 2024
    “…After integrating Senescence-Related Genes (SRGs) from multiple established databases, differential expression analysis, weighted gene co-expression network analysis (WGCNA), and machine learning algorithms were applied to identify predictive SRGs (pSRGs). …”
  12. 712
  13. 713
  14. 714

    Decoding motor patterns as a function of word length. by Viet Chau Linh Nguyen (21601707)

    Published 2025
    “…(C) Average number of fixations in good (blue dots) and poor decoders (red dots) as a function of word length (expressed in number of characters) in both training sessions. …”
  15. 715

    Development of the CO<sub>2</sub> Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms by Hossein Mashhadimoslem (11456548)

    Published 2024
    “…Different machine learning (ML) algorithms, such as NN, MLP-GWO, XGBoost, RF, DT, and SVM, have been applied to display the CO<sub>2</sub> adsorption performance as a function of characteristics and adsorption isotherm parameters. …”
  16. 716

    Data Sheet 1_Advances in HD-EMG interfaces and spatial algorithms for upper limb prosthetic control.pdf by Debora Quadrelli (22179796)

    Published 2025
    “…This mini-review explores advancements in HD-EMG acquisition systems, including both interface designs and recording technologies, as well as ML algorithms leveraging spatial information. …”
  17. 717
  18. 718

    Sponge construct of SKINNY-Hash. by Sonal Arvind Barge (20454967)

    Published 2024
    “…These devices gather information from their environment and send it across a network. …”
  19. 719

    Hybrid redundancy for SKINNY block cipher. by Sonal Arvind Barge (20454967)

    Published 2024
    “…These devices gather information from their environment and send it across a network. …”
  20. 720

    Tweakey updating schedule. by Sonal Arvind Barge (20454967)

    Published 2024
    “…These devices gather information from their environment and send it across a network. …”