بدائل البحث:
complement control » complementary control (توسيع البحث), coherent control (توسيع البحث)
coding algorithm » cosine algorithm (توسيع البحث), modeling algorithm (توسيع البحث), finding algorithm (توسيع البحث)
wt algorithm » _ algorithm (توسيع البحث), ii algorithm (توسيع البحث), rf algorithm (توسيع البحث)
level coding » level according (توسيع البحث), level modeling (توسيع البحث), level using (توسيع البحث)
elements wt » elements _ (توسيع البحث), elements b (توسيع البحث), elements fe (توسيع البحث)
يعرض 61 - 80 نتائج من 287 نتيجة بحث عن '(((( elements wt algorithm ) OR ( complement control algorithm ))) OR ( level coding algorithm ))', وقت الاستعلام: 0.29s تنقيح النتائج
  1. 61
    Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived from the 3-level wavelet transform (WT) at four resolutions. These features were used as inputs for traditional ML algorithms. The left map demonstrates the correlation matrix of 52 features crafted from 4 resolutions of the 3-level WT, which are used as inputs for traditional ML algorithms. The heat map (on the right) is the correlation matrix after feature selection, in which features whose Pearson’s correlation coefficient is higher than 0.8 are considered highly correlated. We keep only one representative feature and remove its highly correlated features.

    Correlation matrices of handcrafted features before and after feature selection. The figure presents two heatmaps illustrating the correlation among 52 handcrafted features derived... حسب Quang Dung Dinh (20995766)

    منشور في 2025
    أضف إلى المفضلة
    محفوظ في:
  2. 62
    Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase algorithm for multi-material topology optimization [34]. (c) A new mapping based interpolation function for multi-material topology optimization [35]. (d) A material-field series expansion (MFSE) model for multi-material topology optimization [36].

    Optimization results of MBB multi-material structure under different methods. (a) A level-set method for multi-material topology optimization [33]. (b) An alternating active-phase... حسب Zhao Li (300229)

    منشور في 2025
    أضف إلى المفضلة
    محفوظ في:
  3. 63
    Execution time comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset.

    Execution time comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  4. 64
    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset.

    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  5. 65
    Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA.

    Genes of the epistastic interactions detected on the seven GWAS data using Epi-SSA. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  6. 66
    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset.

    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  7. 67
    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset.

    Execution time comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  8. 68
    The brief description on the WTCCC dataset.

    The brief description on the WTCCC dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  9. 69
    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset.

    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  10. 70
    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset.

    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  11. 71
    The overall structure and execution flow of Epi-SSA.

    The overall structure and execution flow of Epi-SSA. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  12. 72
    Gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA.

    Gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  13. 73
    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset.

    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DNME 1000 dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  14. 74
    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset.

    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 1000 dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  15. 75
    Part of gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA.

    Part of gene pairs of the epistastic interactions detected on the seven GWAS data using Epi-SSA. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  16. 76
    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset.

    F-measure comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  17. 77
    The strategy of sorting the sparrow population based on the rank.

    The strategy of sorting the sparrow population based on the rank. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  18. 78
    The gene network of the epistatic interactions detected for Bipolar Disorder.

    The gene network of the epistatic interactions detected for Bipolar Disorder. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  19. 79
    F-measure comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset.

    F-measure comparisons between DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B) and Epi-SSA(P) on the DNME3 100 dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:
  20. 80
    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset.

    Power comparisons between AntEpiSeeker(A), DECMDR(D), HS-MMGKG(G), SEE(S), SHEIB-AGM(B), SNPHarvester(H), SNPRuler(R) and Epi-SSA(P) on the DME 100 dataset. حسب Liyan Sun (760586)

    منشور في 2024
    الموضوعات:
    أضف إلى المفضلة
    محفوظ في:

أدوات البحث: