Showing 161 - 180 results of 8,353 for search '(((( a larger decrease ) OR ( ai large increases ))) OR ( ((b larger) OR (b large)) decrease ))', query time: 0.92s Refine Results
  1. 161

    AI augmentation in evidence synthesis workflows. by Alaa Al Khourdajie (13843729)

    Published 2025
    “…This essay provides a clear path for the responsible, expert-led integration of AI, ensuring it serves to augment, not replace, human expertise.…”
  2. 162
  3. 163

    Strengthening assessment integrity in the era of generative AI: evidence from a large-scale study by Liz Hardie (22277602)

    Published 2025
    “…This large-scale empirical study at a UK university, based on 590 student and 354 AI-generated answers, provides evidence on markers’ ability to detect the GenAI scripts and whether some assessment types are more robust than others against GenAI misuse. …”
  4. 164

    AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms by I. de Zarza (17378452)

    Published 2024
    “…<p dir="ltr">Presentation for PhD thesis:</p><p dir="ltr">AI-Enhanced Methods in Autonomous Systems: Large Language Models, DL Techniques, and Optimization Algorithms https://doi.org/10.4995/Thesis/10251/202201</p><p dir="ltr">Abstract:</p><p dir="ltr">The proliferation of autonomous systems, and their increasing integration with day-to-day human life, have opened new frontiers of research and development. …”
  5. 165
  6. 166
  7. 167
  8. 168
  9. 169
  10. 170
  11. 171

    Increasing the number of commonly represented features decreases the assignment error rate, but increases the level of redundancy between the representations. by W. Jeffrey Johnston (8463480)

    Published 2023
    “…<p>The color legend is the same throughout the plot, and provided in <b>D</b>. <b>A</b> Schematic showing that the distance between two points increases with the dimensionality of the space that they are in. …”
  12. 172
  13. 173
  14. 174
  15. 175
  16. 176
  17. 177

    <b>Exploration of S-ECC microbiota through a novel developed nutrient enriched microbiological medium, high through-put 16S rRNA sequencing and culturomics-</b><b>Sequence Data</b> by 艺欣 张 (17564160)

    Published 2024
    “…</p><p><br></p><p dir="ltr"><b>Results:</b></p><p dir="ltr">Either NEMM or SHI medium showed a significant decrease in bacterial alpha diversity compared to clinical dental plaque samples by high throughput 16S rRNA sequencing analysis, indicating a larger room for the improvement of both media. …”
  18. 178
  19. 179
  20. 180