Showing 101 - 120 results of 4,788 for search '(( algorithm brain function ) OR ( ((algorithm python) OR (algorithm a)) function ))*', query time: 0.64s Refine Results
  1. 101

    Heat maps of mean scores over 50 datasets of the algorithms as a function of relative noise and number of samples. by Yuanchen Zhao (12905580)

    Published 2024
    “…<p>Heat maps of mean scores over 50 datasets of the algorithms as a function of relative noise and number of samples.…”
  2. 102

    Labyrinthine Microstructures with a High Dipole Moment Boron Complex for Molecular Physically Unclonable Functions by Tevhide Ayça Yıldız (22109101)

    Published 2025
    “…Here, we report the development of a new high dipole-moment small molecule, InIm-BF<sub>2</sub>, a difluoroborate complex of an indolyl-imine ligand, and the fabrication of unique labyrinthine patterns through a facile two-step thin film process under ambient conditions. …”
  3. 103
  4. 104

    Efficient Algorithms for GPU Accelerated Evaluation of the DFT Exchange-Correlation Functional by Ryan Stocks (16867476)

    Published 2025
    “…Kohn–Sham density functional theory (KS-DFT) has become a cornerstone for studying the electronic structure of molecules and materials. …”
  5. 105

    Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty by Arnaud Liehrmann (10970682)

    Published 2024
    “…This penalty was proposed by Verzelen et al. and achieves optimal rates for changepoint detection and changepoint localization in a non-asymptotic scenario. Our proposed algorithm, Multiscale Functional Pruning Optimal Partitioning (Ms.FPOP), extends functional pruning ideas presented in Rigaill and Maidstone et al. to multiscale penalties. …”
  6. 106

    ANOVA tests for Benchmark functions. by Yu Liu (6938)

    Published 2025
    “…<div><p>The competition of tribes and cooperation of members algorithm (CTCM) is a novel swarm intelligence algorithm, which increases the diversity of the population to a certain extent through tribal competition and member cooperation mechanisms. …”
  7. 107

    The Wilcoxon results for Benchmark functions. by Yu Liu (6938)

    Published 2025
    “…<div><p>The competition of tribes and cooperation of members algorithm (CTCM) is a novel swarm intelligence algorithm, which increases the diversity of the population to a certain extent through tribal competition and member cooperation mechanisms. …”
  8. 108

    Convergence graphs of Benchmark functions. by Yu Liu (6938)

    Published 2025
    “…<div><p>The competition of tribes and cooperation of members algorithm (CTCM) is a novel swarm intelligence algorithm, which increases the diversity of the population to a certain extent through tribal competition and member cooperation mechanisms. …”
  9. 109

    Coarse-fine optimization algorithm. by Chao Ma (207385)

    Published 2025
    “…The improved gradient extraction method combines the Scale Invariant Feature Transformation (SIFT) algorithm to form a new multi-scale image sharpness evaluation function, SIFT Quad-Tenen. …”
  10. 110

    Algorithm testing. by Ziad M. Ali (12516532)

    Published 2024
    “…The solutions are expressed in terms of the Lambert W function and solved using a special transcendental function approach called Special Trans Function Theory (STFT). …”
  11. 111
  12. 112

    RFAConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …”
  13. 113

    PConv working principle. by Pingping Yan (462509)

    Published 2025
    “…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …”
  14. 114

    Improvement of SPPF to SPPF-R process. by Pingping Yan (462509)

    Published 2025
    “…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …”
  15. 115

    PR comparison on RSOD dataset. by Pingping Yan (462509)

    Published 2025
    “…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …”
  16. 116

    Ablation study on the RSOD dataset. by Pingping Yan (462509)

    Published 2025
    “…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …”
  17. 117

    Structure and working principle of LI-YOLOv8. by Pingping Yan (462509)

    Published 2025
    “…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …”
  18. 118

    C2f-E improvement process. by Pingping Yan (462509)

    Published 2025
    “…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …”
  19. 119

    Structure of Detect and GP-Detect. by Pingping Yan (462509)

    Published 2025
    “…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …”
  20. 120

    YOLOv8 structure and working principle. by Pingping Yan (462509)

    Published 2025
    “…Using YOLOv8n as the baseline algorithm, the activation function SiLU in the CBS at the backbone network’s SPPF is replaced with ReLU, which reduces interdependencies among parameters. …”