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Showing 121 - 140 results of 190 for search '(( binary image driven optimization algorithm ) OR ( lines based network optimization algorithm ))', query time: 0.55s Refine Results
  1. 121
    Fig 7 -

    Fig 7 - by Mouhamad Bodaghie (14838511)

    Published 2023
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  2. 122
    The superiority of the present study’s method compared to the other methods.

    The superiority of the present study’s method compared to the other methods. by Mouhamad Bodaghie (14838511)

    Published 2023
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  3. 123
    S1 Data -

    S1 Data - by Mouhamad Bodaghie (14838511)

    Published 2023
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  4. 124
    Fig 5 -

    Fig 5 - by Mouhamad Bodaghie (14838511)

    Published 2023
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  5. 125
    Fig 3 -

    Fig 3 - by Mouhamad Bodaghie (14838511)

    Published 2023
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  6. 126
    An epidemiological learning model.

    An epidemiological learning model. by Mouhamad Bodaghie (14838511)

    Published 2023
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  7. 127
    Fig 4 -

    Fig 4 - by Mouhamad Bodaghie (14838511)

    Published 2023
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  8. 128
    Total mean square error (MSE) of training and testing data in the best implementation of the ANN-PSO network for estimating the mortality rate of COVID-19 patients in the ranges of [0.1,0.4], [0.4,0.7], [0.7, 1], [1.1.3], [1.3,1.7] and [1.7,2].

    Total mean square error (MSE) of training and testing data in the best implementation of the ANN-PSO network for estimating the mortality rate of COVID-19 patients in the ranges of... by Mouhamad Bodaghie (14838511)

    Published 2023
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  9. 129
    Fig 8 -

    Fig 8 - by Mouhamad Bodaghie (14838511)

    Published 2023
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  10. 130
    Graphical implementation of the links.

    Graphical implementation of the links. by Thibault Rolland (14833626)

    Published 2023
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  11. 131
    Table 1_Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma.docx

    Table 1_Leveraging a disulfidptosis-based signature to characterize heterogeneity and optimize treatment in multiple myeloma.docx by Bingxin Zhang (13011397)

    Published 2025
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  12. 132
    Fig 19 -

    Fig 19 - by Tomasz Gutowski (17200042)

    Published 2023
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  13. 133
    Fig 18 -

    Fig 18 - by Tomasz Gutowski (17200042)

    Published 2023
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  14. 134
    Fig 16 -

    Fig 16 - by Tomasz Gutowski (17200042)

    Published 2023
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  15. 135
    Fig 17 -

    Fig 17 - by Tomasz Gutowski (17200042)

    Published 2023
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  16. 136
    The fabricated power amplifier.

    The fabricated power amplifier. by Mohammad Soruri (15419087)

    Published 2023
    “…The widths and lengths of the microstrip lines in the input and output matching networks are defined as the parameters that the Hidden Markov Model should optimize. …”
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  17. 137
    Schematics of the proposed PA.

    Schematics of the proposed PA. by Mohammad Soruri (15419087)

    Published 2023
    “…The widths and lengths of the microstrip lines in the input and output matching networks are defined as the parameters that the Hidden Markov Model should optimize. …”
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  18. 138
    S-parameters versus frequency.

    S-parameters versus frequency. by Mohammad Soruri (15419087)

    Published 2023
    “…The widths and lengths of the microstrip lines in the input and output matching networks are defined as the parameters that the Hidden Markov Model should optimize. …”
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  19. 139
    Portiloop implementation.

    Portiloop implementation. by Nicolas Valenchon (13281855)

    Published 2022
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  20. 140
    Data_Sheet_3_Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean.docx

    Data_Sheet_3_Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean.docx by Vishnu Ramasubramanian (4951354)

    Published 2021
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