Showing 1,241 - 1,260 results of 100,360 for search '(( 5 fold decrease ) OR ( 5 ((((fold decrease) OR (point decrease))) OR (a decrease)) ))', query time: 1.50s Refine Results
  1. 1241

    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. …”
  2. 1242

    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. …”
  3. 1243

    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. …”
  4. 1244

    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. …”
  5. 1245

    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. …”
  6. 1246

    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. …”
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  10. 1250

    Unlocking Predictive Capability and Enhancing Sensing Performances of Plasmonic Hydrogen Sensors via Phase Space Reconstruction and Convolutional Neural Networks by Xiangxin Lin (11576299)

    Published 2024
    “…Performance improvements observed are a reduction in response time by up to 3.7 times (average 2.1 times) across pressures, SNR increased by up to 9.3 times (average 3.9 times) across pressures, and LOD decreased from 16 Pa to an extrapolated 3 Pa, a 5.3-fold improvement. …”
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