يعرض 181 - 200 نتائج من 396 نتيجة بحث عن '(((( complement i algorithm ) OR ( elements uce algorithm ))) OR ( level coding algorithm ))', وقت الاستعلام: 0.48s تنقيح النتائج
  1. 181
  2. 182
  3. 183
  4. 184
  5. 185
  6. 186
  7. 187
  8. 188
  9. 189
  10. 190
  11. 191

    <b>The abundance of ground-level atmospheric ice-nucleating particles and aerosol properties </b><b>in the North Slope of Alaska</b> حسب Aidan Pantoya (19416546)

    منشور في 2024
    "…It is worth noting that we also flag the data based on wind speed and number concentration, and data mentor edits. The algorithm we use is described in this paper (Sheridan et al., 2016). …"
  12. 192
  13. 193
  14. 194
  15. 195

    Generative Deep Learning-Aided Design of Flexible Molecular Crystals حسب Chenyang Zhao (533763)

    منشور في 2025
    "…The inferences are complemented by case studies that employed CrystalGAN and CNN to generate molecules that are expected to crystallize as flexible crystals with improved tableting properties. …"
  16. 196

    Generative Deep Learning-Aided Design of Flexible Molecular Crystals حسب Chenyang Zhao (533763)

    منشور في 2025
    "…The inferences are complemented by case studies that employed CrystalGAN and CNN to generate molecules that are expected to crystallize as flexible crystals with improved tableting properties. …"
  17. 197

    Machine Learning Study of Methane Activation by Gas-Phase Species حسب Ying Xu (9172)

    منشور في 2025
    "…It turned out that the satisfactory ML models could be described in terms of four key features, including the vertical electron detachment energy (VDE), the absolute value of the energy gap between the highest occupied molecular orbital of CH<sub>4</sub>, and the lowest unoccupied molecular orbital of the metal species (|Δ<i>E</i><sub>H′–L</sub>|), the maximum natural charge of metal atoms (<i>Q</i><sub>max</sub>), and the maximum electron occupancy of valence s orbitals on metal atoms (<i>n</i><sub>s_max</sub>), based on the feature selection complemented with manual intervention. …"
  18. 198

    Machine Learning Study of Methane Activation by Gas-Phase Species حسب Ying Xu (9172)

    منشور في 2025
    "…It turned out that the satisfactory ML models could be described in terms of four key features, including the vertical electron detachment energy (VDE), the absolute value of the energy gap between the highest occupied molecular orbital of CH<sub>4</sub>, and the lowest unoccupied molecular orbital of the metal species (|Δ<i>E</i><sub>H′–L</sub>|), the maximum natural charge of metal atoms (<i>Q</i><sub>max</sub>), and the maximum electron occupancy of valence s orbitals on metal atoms (<i>n</i><sub>s_max</sub>), based on the feature selection complemented with manual intervention. …"
  19. 199
  20. 200