Showing 1,421 - 1,440 results of 31,986 for search '(( 5 ((fold decrease) OR (point decrease)) ) OR ( 100 ((nn decrease) OR (a decrease)) ))', query time: 1.00s Refine Results
  1. 1421
  2. 1422

    S5 Table - by Mohamad Karaky (8910497)

    Published 2022
    Subjects:
  3. 1423
  4. 1424
  5. 1425
  6. 1426
  7. 1427
  8. 1428
  9. 1429
  10. 1430
  11. 1431
  12. 1432
  13. 1433
  14. 1434
  15. 1435

    Simulation Parameter Settings. by Jinrong Liang (3918740)

    Published 2025
    “…After applying Taylor pruning to the model, its floating-point operations (FLOPs) were reduced from 40.5 M to 9.5 M, and its parameter memory was decreased from 2.6 M to 0.5 M. …”
  16. 1436

    Complexity analysis of each model. by Jinrong Liang (3918740)

    Published 2025
    “…After applying Taylor pruning to the model, its floating-point operations (FLOPs) were reduced from 40.5 M to 9.5 M, and its parameter memory was decreased from 2.6 M to 0.5 M. …”
  17. 1437

    Radon transform of the constellation diagram. by Jinrong Liang (3918740)

    Published 2025
    “…After applying Taylor pruning to the model, its floating-point operations (FLOPs) were reduced from 40.5 M to 9.5 M, and its parameter memory was decreased from 2.6 M to 0.5 M. …”
  18. 1438

    The process of Taylor score pruning. by Jinrong Liang (3918740)

    Published 2025
    “…After applying Taylor pruning to the model, its floating-point operations (FLOPs) were reduced from 40.5 M to 9.5 M, and its parameter memory was decreased from 2.6 M to 0.5 M. …”
  19. 1439

    The principle of Radon transformation. by Jinrong Liang (3918740)

    Published 2025
    “…After applying Taylor pruning to the model, its floating-point operations (FLOPs) were reduced from 40.5 M to 9.5 M, and its parameter memory was decreased from 2.6 M to 0.5 M. …”
  20. 1440

    Ring constellation diagram. by Jinrong Liang (3918740)

    Published 2025
    “…After applying Taylor pruning to the model, its floating-point operations (FLOPs) were reduced from 40.5 M to 9.5 M, and its parameter memory was decreased from 2.6 M to 0.5 M. …”