Search alternatives:
access optimization » process optimization (Expand Search), stress optimization (Expand Search), process optimisation (Expand Search)
based optimization » whale optimization (Expand Search)
primary classes » primary causes (Expand Search), primary clusters (Expand Search), primary cause (Expand Search)
classes based » cases based (Expand Search), clusters based (Expand Search), classified based (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data access » data across (Expand Search), water access (Expand Search)
Showing 1 - 20 results of 54 for search '(( binary data access optimization algorithm ) OR ( primary classes based optimization algorithm ))', query time: 0.58s Refine Results
  1. 1
    Average ca for HT-based features extracted from 2.4-second time segments using classification methods.

    Average ca for HT-based features extracted from 2.4-second time segments using classification methods. by Ebru Ergün (21395498)

    Published 2025
    Save to List
    Saved in:
  2. 2
    Average CA for HT, FWHT, BP, and SF-based features extracted from 2.4-second time segments using the k-NN classifier.

    Average CA for HT, FWHT, BP, and SF-based features extracted from 2.4-second time segments using the k-NN classifier. by Ebru Ergün (21395498)

    Published 2025
    Save to List
    Saved in:
  3. 3
    Trainable parameters for different algorithms.

    Trainable parameters for different algorithms. by Anwar Hossain Efat (19942283)

    Published 2024
    Save to List
    Saved in:
  4. 4
    Confusion matrix for multiclass classification.

    Confusion matrix for multiclass classification. by Ebru Ergün (21395498)

    Published 2025
    “…The experimental protocol involved eight participants performing tasks across four classes of scrolling text. To optimize system accuracy and speed, EEG and NIRS data were segmented into discrete temporal windows. …”
    Save to List
    Saved in:
  5. 5
    General flow chart of the proposed method.

    General flow chart of the proposed method. by Ebru Ergün (21395498)

    Published 2025
    “…The experimental protocol involved eight participants performing tasks across four classes of scrolling text. To optimize system accuracy and speed, EEG and NIRS data were segmented into discrete temporal windows. …”
    Save to List
    Saved in:
  6. 6
    MCLP_quantum_annealer_V0.5

    MCLP_quantum_annealer_V0.5 by Anonymous Anonymous (4854526)

    Published 2025
    Save to List
    Saved in:
  7. 7
    Data_Sheet_1_Hierarchical multi-class Alzheimer’s disease diagnostic framework using imaging and clinical features.docx

    Data_Sheet_1_Hierarchical multi-class Alzheimer’s disease diagnostic framework using imaging and clinical features.docx by Yao Qin (385509)

    Published 2022
    “…The combination of selected imaging features and clinical variables improved the multi-class performance using the AdaBoost algorithm, with overall accuracy rates of 0.877 in the temporal validation set. …”
    Save to List
    Saved in:
  8. 8
    Distributions of model parameters mirror differentially expressed ion channel genes.

    Distributions of model parameters mirror differentially expressed ion channel genes. by Daniele Linaro (227790)

    Published 2022
    Save to List
    Saved in:
  9. 9
    Category range of secondary indicators.

    Category range of secondary indicators. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:
  10. 10
    Diagram of ANP network structure.

    Diagram of ANP network structure. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:
  11. 11
    Comparison of methodologies in scheme selection.

    Comparison of methodologies in scheme selection. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:
  12. 12
    Judgment matrix of control layer U.

    Judgment matrix of control layer U. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:
  13. 13
    Expert scoring flow chart.

    Expert scoring flow chart. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:
  14. 14
    Evaluation matrix.

    Evaluation matrix. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:
  15. 15
    Parameters of joint significance test.

    Parameters of joint significance test. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:
  16. 16
    Expert scoring values of criterion layer U<sub>1</sub>.

    Expert scoring values of criterion layer U<sub>1</sub>. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:
  17. 17
    Pile foundation construction options.

    Pile foundation construction options. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:
  18. 18
    Comparison of calculation results.

    Comparison of calculation results. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:
  19. 19
    Judgment matrix of criterion layer U<sub>3</sub>.

    Judgment matrix of criterion layer U<sub>3</sub>. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:
  20. 20
    Judgment matrix of criterion layer U<sub>4</sub>.

    Judgment matrix of criterion layer U<sub>4</sub>. by Yixuan Lu (9987980)

    Published 2023
    “…The pile foundation quality achieved using the optimal construction plan is classified as Class I, which prove the feasibility of the model.…”
    Save to List
    Saved in:

Search Tools: