Search alternatives:
bayesian optimization » based optimization (Expand Search)
points optimization » joint optimization (Expand Search), process optimization (Expand Search), potency optimization (Expand Search)
data bayesian » a bayesian (Expand Search), art bayesian (Expand Search)
sample points » sampling points (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data sample » data samples (Expand Search)
Showing 1 - 20 results of 156 for search '(( binary data bayesian optimization algorithm ) OR ( data sample points optimization algorithm ))*', query time: 0.76s Refine Results
  1. 1
    Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things

    Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

    Published 2025
    “…This research presents Data-Driven Intrusion Detection System in Internet of Things utilizing Optimized Bayesian Regularization-Back Propagation Neural Network (DIDS-BRBPNN-BBWOA-IoT) to overcome these issues. …”
    Save to List
    Saved in:
  2. 2
    Sampling points during the 6th respiration.

    Sampling points during the 6th respiration. by Feng Gao (3548)

    Published 2024
    Save to List
    Saved in:
  3. 3
    Action potential of sample points in model 1.

    Action potential of sample points in model 1. by Hang Zhao (143592)

    Published 2025
    Save to List
    Saved in:
  4. 4
    Action potential of sample points in model 2.

    Action potential of sample points in model 2. by Hang Zhao (143592)

    Published 2025
    Save to List
    Saved in:
  5. 5
    Action potential of sample points in model 0.

    Action potential of sample points in model 0. by Hang Zhao (143592)

    Published 2025
    Save to List
    Saved in:
  6. 6
    The structure of the sample point generator in Dysample.

    The structure of the sample point generator in Dysample. by Mengqi Yuan (4852555)

    Published 2025
    Save to List
    Saved in:
  7. 7
    N<sub>2</sub>O mass fraction at 9 sampling points.

    N<sub>2</sub>O mass fraction at 9 sampling points. by Feng Gao (3548)

    Published 2024
    Save to List
    Saved in:
  8. 8
    Test results of composite sample distribution.

    Test results of composite sample distribution. by Shaoxia Mou (16510383)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  9. 9
    Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties

    Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties by Tamara Cantú Maltauro (15199725)

    Published 2023
    Save to List
    Saved in:
  10. 10
    Failure Samples and Fitting Results.

    Failure Samples and Fitting Results. by Dongyan Wang (195482)

    Published 2025
    Save to List
    Saved in:
  11. 11
    Grid independence test for: (a) Temperature, (b) Velocity W, (c) Velocity U, and (d) Sampling points in the X-Z plane.

    Grid independence test for: (a) Temperature, (b) Velocity W, (c) Velocity U, and (d) Sampling points in the X-Z plane. by Feng Gao (3548)

    Published 2024
    Save to List
    Saved in:
  12. 12
    Statistics of GI data processing using different algorithms at various input CTTDs.

    Statistics of GI data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  13. 13
    Statistics of HEWL data processing using different algorithms at various input CTTDs.

    Statistics of HEWL data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  14. 14
    Graphical illustration of sample size estimation for the study protocol.

    Graphical illustration of sample size estimation for the study protocol. by Müge Yalçin (16486563)

    Published 2023
    Save to List
    Saved in:
  15. 15
    <i>T</i><sub><i>ca</i></sub> and schemes distribution of the sample point.

    <i>T</i><sub><i>ca</i></sub> and schemes distribution of the sample point. by Weijian Li (762796)

    Published 2022
    Save to List
    Saved in:
  16. 16
    Description of data sets.

    Description of data sets. by Shaoxia Mou (16510383)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  17. 17
    Comparison of mining accuracy.

    Comparison of mining accuracy. by Shaoxia Mou (16510383)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  18. 18
    Influence of parameter setting on mining performance.

    Influence of parameter setting on mining performance. by Shaoxia Mou (16510383)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  19. 19
    Comparison of clustering effects.

    Comparison of clustering effects. by Shaoxia Mou (16510383)

    Published 2023
    Subjects:
    Save to List
    Saved in:
  20. 20
    Impact of decomposition dimension and iteration times on mining performance.

    Impact of decomposition dimension and iteration times on mining performance. by Shaoxia Mou (16510383)

    Published 2023
    Subjects:
    Save to List
    Saved in:

Search Tools: