يعرض 301 - 320 نتائج من 731 نتيجة بحث عن '(( algorithm ((within function) OR (python function)) ) OR ( algorithm within function ))', وقت الاستعلام: 0.45s تنقيح النتائج
  1. 301
  2. 302

    Model performance over epochs. حسب Ayesha Khalid (7843483)

    منشور في 2024
    "…These findings underscore the effectiveness of the ESM-2 model in accurately predicting <i>O-</i>GlcNAc sites within human proteins. Accurately predicting <i>O</i>-GlcNAc sites within human proteins can significantly advance glycoproteomic research by enhancing our understanding of protein function and disease mechanisms, aiding in developing targeted therapies, and facilitating biomarker discovery for improved diagnosis and treatment. …"
  3. 303

    Evaluation metrics on test data. حسب Ayesha Khalid (7843483)

    منشور في 2024
    "…These findings underscore the effectiveness of the ESM-2 model in accurately predicting <i>O-</i>GlcNAc sites within human proteins. Accurately predicting <i>O</i>-GlcNAc sites within human proteins can significantly advance glycoproteomic research by enhancing our understanding of protein function and disease mechanisms, aiding in developing targeted therapies, and facilitating biomarker discovery for improved diagnosis and treatment. …"
  4. 304
  5. 305
  6. 306
  7. 307
  8. 308
  9. 309

    Summary: Dipole-spread-function engineering for simultaneously measuring the 3D orientations and 3D positions of fluorescent molecules حسب Tingting Wu (21440889)

    منشور في 2025
    "…We demonstrate the pixOL algorithm to simultaneously optimize all pixels within a phase mask to produce an engineered Green’s tensor–the dipole extension of point-spread function engineering. …"
  10. 310
  11. 311
  12. 312
  13. 313

    DataSheet1_The evolution of flexibility and function in the Fc domains of IgM, IgY, and IgE.pdf حسب Rosaleen A. Calvert (10039787)

    منشور في 2024
    "…This permits additional flexibility within the Fc region, which has been exploited by nature to modulate antibody effector functions. …"
  14. 314
  15. 315
  16. 316

    Can geodemographic clustering be fair? Incorporating social fairness in crisp and fuzzy approaches through a unified framework حسب Yue Lin (13107042)

    منشور في 2024
    "…SFGC also introduces a gradient descent-based algorithm to optimize this new cost function. In addition, SFGC can be directly adapted to crisp clustering, facilitating practical implementation and comparison of clustering algorithms.…"
  17. 317

    An HSR corridor with m stations and n trains. حسب Zhipeng Huang (1759759)

    منشور في 2025
    "…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …"
  18. 318

    Structure of bi-level programming model. حسب Zhipeng Huang (1759759)

    منشور في 2025
    "…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …"
  19. 319

    Lanzhou-Xi’an HSR corridor. حسب Zhipeng Huang (1759759)

    منشور في 2025
    "…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …"
  20. 320

    Comparison of related studies with our work. حسب Zhipeng Huang (1759759)

    منشور في 2025
    "…We propose a time-space-state three-dimensional network (TSSN) that integrates preferences for travel time, fares, and seat classes. Impedance functions for various network arcs are developed, incorporating these three key attributes of travel demand and transforming the passenger travel choice issue into a path selection problem within the TSSN. …"