Showing 161 - 180 results of 292 for search '(( algorithm brain functions ) OR ( algorithm python function ))', query time: 0.51s Refine Results
  1. 161

    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. …”
  2. 162

    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. …”
  3. 163

    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. …”
  4. 164

    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. …”
  5. 165

    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. …”
  6. 166

    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. …”
  7. 167

    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. …”
  8. 168

    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. …”
  9. 169

    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. …”
  10. 170

    Improvement of CBS to CBR 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. …”
  11. 171

    EMA attention mechanism 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. …”
  12. 172

    Ablation study on the NWPU VHR-10 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. …”
  13. 173

    GSConv 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. 174

    PR comparison on NWPU VHR-10 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. …”
  15. 175
  16. 176

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

    Published 2025
    “…<p dir="ltr">The <i>zip</i> file contains the code for the functional excitation-inhibition ratio (fE/I) and theta-gamma (θ-γ) phase-amplitude coupling (PAC) analyses described in the paper titled "<b>Hippocampal and cortical activity reflect early </b><b>hyperexcitability</b><b> in an Alzheimer's mouse model</b>" submitted to <i>Brain Communications</i> in April 2025.…”
  17. 177

    Data Sheet 1_Alterations in gut microbiota and plasma metabolites: a multi-omics study of mild cognitive impairment in Parkinson’s disease.docx by Zihao Lin (9312240)

    Published 2025
    “…We examined fecal and plasma specimens from these participants. Cognitive function was assessed via the Montreal Cognitive Assessment (MoCA). …”
  18. 178

    Data Sheet 1_Investigating neural markers of Alzheimer's disease in posttraumatic stress disorder using machine learning algorithms and magnetic resonance imaging.pdf by Gabriella Yakemow (20137758)

    Published 2024
    “…Additionally, we utilized two previously established machine learning-based algorithms, one representing AD-like brain activity (Machine learning-based AD Designation [MAD]) and the other focused on AD-like brain structural changes (AD-like Brain Structure [ABS]). …”
  19. 179
  20. 180

    Data Sheet 1_Detecting cognitive motor dissociation by functional near-infrared spectroscopy.pdf by Yan Wang (15435)

    Published 2025
    “…Background<p>Behavioral assessment based on external manifestations of consciousness fails for patients with cognitive motor dissociation (CMD). Functional near-infrared spectroscopy (fNIRS) is an emerging neuroimaging technique that can detect internal brain functional activities. …”