يعرض 581 - 600 نتائج من 1,453 نتيجة بحث عن '(( algorithm within function ) OR ( ((algorithm python) OR (algorithm both)) function ))*', وقت الاستعلام: 0.28s تنقيح النتائج
  1. 581

    Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem حسب Hongwei Chu (3912916)

    منشور في 2025
    "…Mental stress has been a paramount concern worldwide, serving as a critical element for the optimal functioning and thriving of families, communities, and societies. …"
  2. 582

    Assessment of Acute Stress and Chronic Stress for Mental Health Management by a Fully Integrated Wearable Biosystem حسب Hongwei Chu (3912916)

    منشور في 2025
    "…Mental stress has been a paramount concern worldwide, serving as a critical element for the optimal functioning and thriving of families, communities, and societies. …"
  3. 583
  4. 584
  5. 585
  6. 586
  7. 587
  8. 588
  9. 589

    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.…"
  10. 590

    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. …"
  11. 591

    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. …"
  12. 592

    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. …"
  13. 593

    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. …"
  14. 594

    Unit impedance of each OD pair. 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. …"
  15. 595

    Subscripts and parameters used in TSSN. 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. …"
  16. 596

    Occupying rate of v-class seat in each train. 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. …"
  17. 597

    Schematic diagram of mutation operation. 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. 598

    The values of other input parameters. 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. 599

    Optimized unbalanced train operation chart. 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. 600

    The gene primer sequences. حسب Meili Liu (327309)

    منشور في 2025
    "…</p><p>Methods</p><p>Public gene expression datasets were analyzed to identify differentially expressed genes (DEGs) common to both RA and UC. Functional enrichment and immune infiltration analyses revealed dysregulated pathways. …"