Showing 141 - 160 results of 164 for search '(( less based function optimization algorithm ) OR ( binary based well optimization algorithm ))', query time: 0.50s Refine Results
  1. 141

    Metabolomic Coverage of Chemical-Group-Submetabolome Analysis: Group Classification and Four-Channel Chemical Isotope Labeling LC-MS by Shuang Zhao (484057)

    Published 2019
    “…We developed a computer algorithm to classify chemical structures according to their functional groups. …”
  2. 142

    Metabolomic Coverage of Chemical-Group-Submetabolome Analysis: Group Classification and Four-Channel Chemical Isotope Labeling LC-MS by Shuang Zhao (484057)

    Published 2019
    “…We developed a computer algorithm to classify chemical structures according to their functional groups. …”
  3. 143

    Metabolomic Coverage of Chemical-Group-Submetabolome Analysis: Group Classification and Four-Channel Chemical Isotope Labeling LC-MS by Shuang Zhao (484057)

    Published 2019
    “…We developed a computer algorithm to classify chemical structures according to their functional groups. …”
  4. 144

    Metabolomic Coverage of Chemical-Group-Submetabolome Analysis: Group Classification and Four-Channel Chemical Isotope Labeling LC-MS by Shuang Zhao (484057)

    Published 2019
    “…We developed a computer algorithm to classify chemical structures according to their functional groups. …”
  5. 145

    Metabolomic Coverage of Chemical-Group-Submetabolome Analysis: Group Classification and Four-Channel Chemical Isotope Labeling LC-MS by Shuang Zhao (484057)

    Published 2019
    “…We developed a computer algorithm to classify chemical structures according to their functional groups. …”
  6. 146

    Metabolomic Coverage of Chemical-Group-Submetabolome Analysis: Group Classification and Four-Channel Chemical Isotope Labeling LC-MS by Shuang Zhao (484057)

    Published 2019
    “…We developed a computer algorithm to classify chemical structures according to their functional groups. …”
  7. 147

    Metabolomic Coverage of Chemical-Group-Submetabolome Analysis: Group Classification and Four-Channel Chemical Isotope Labeling LC-MS by Shuang Zhao (484057)

    Published 2019
    “…We developed a computer algorithm to classify chemical structures according to their functional groups. …”
  8. 148

    Metabolomic Coverage of Chemical-Group-Submetabolome Analysis: Group Classification and Four-Channel Chemical Isotope Labeling LC-MS by Shuang Zhao (484057)

    Published 2019
    “…We developed a computer algorithm to classify chemical structures according to their functional groups. …”
  9. 149

    Metabolomic Coverage of Chemical-Group-Submetabolome Analysis: Group Classification and Four-Channel Chemical Isotope Labeling LC-MS by Shuang Zhao (484057)

    Published 2019
    “…We developed a computer algorithm to classify chemical structures according to their functional groups. …”
  10. 150
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  16. 156

    Bayesian sequential design for sensitivity experiments with hybrid responses by Yuxia Liu (1779592)

    Published 2023
    “…To deal with the problem of complex computation involved in searching for optimal designs, fast algorithms are presented using two strategies to approximate the optimal criterion, denoted as SI-optimal design and Bayesian D-optimal design, respectively. …”
  17. 157

    datasheet1_Real-Time Dispatching Performance Improvement of Multiple Multi-Energy Supply Microgrids Using Neural Network Based Approximate Dynamic Programming.pdf by Bei Li (90587)

    Published 2021
    “…The results show that the neural network based ADP one-step decision algorithm has almost the same performance as the Global optimization algorithm, and the highest performance among all others Local optimization algorithms. …”
  18. 158

    DataSheet_1_Multi-Parametric MRI-Based Radiomics Models for Predicting Molecular Subtype and Androgen Receptor Expression in Breast Cancer.docx by Yuhong Huang (115702)

    Published 2021
    “…We applied several feature selection strategies including the least absolute shrinkage and selection operator (LASSO), and recursive feature elimination (RFE), the maximum relevance minimum redundancy (mRMR), Boruta and Pearson correlation analysis, to select the most optimal features. We then built 120 diagnostic models using distinct classification algorithms and feature sets divided by MRI sequences and selection strategies to predict molecular subtype and AR expression of breast cancer in the testing dataset of leave-one-out cross-validation (LOOCV). …”
  19. 159

    Data_Sheet_1_A Novel Method Based on Combination of Independent Component Analysis and Ensemble Empirical Mode Decomposition for Removing Electrooculogram Artifacts From Multichann... by Chao-Lin Teng (11545063)

    Published 2021
    “…Then, by performing the EEMD algorithm on EOG-related ICs, the intrinsic mode functions (IMFs) linked to EOG were discriminated and eliminated. …”
  20. 160

    Models and Dataset by M RN (9866504)

    Published 2025
    “…</p><p dir="ltr"><br></p><p dir="ltr"><b>RAO (Rao Optimization Algorithm):</b><br>RAO is a parameter-less optimization algorithm that updates solutions based on simple arithmetic operations involving the best and worst individuals in the population. …”