Showing 81 - 100 results of 139 for search '(( binary image process optimization algorithm ) OR ( lines based complex optimization algorithm ))', query time: 0.59s Refine Results
  1. 81

    Accuracy and F-Measure Analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
  2. 82

    FPR and FNR analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
  3. 83

    Comparative Analysis of Mitosis Detection Method. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
  4. 84

    Markedness and NLR Analysis. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
  5. 85

    Accuracy vs loss for varying epochs. by Afnan M. Alhassan (18349378)

    Published 2025
    “…Furthermore, we have established an innovative selection mechanism by the hybrid of Jellyfish Search Optimizer (JSO) and Walrus Optimization Algorithm (WOA) to maximize the momentum of the model. …”
  6. 86

    Comparative discussion on database-1. by Shanthi Amgothu (17692146)

    Published 2023
    “…In order to store the data, the hospitals require large storage devices that make the progression of data more complex. To bridge this gap, a potent scheme is established for COVID-19 prediction based fog-cloud named Caviar Squirrel Jellyfish Search Optimization (CSJSO). …”
  7. 87

    Schematic view of fog layer. by Shanthi Amgothu (17692146)

    Published 2023
    “…In order to store the data, the hospitals require large storage devices that make the progression of data more complex. To bridge this gap, a potent scheme is established for COVID-19 prediction based fog-cloud named Caviar Squirrel Jellyfish Search Optimization (CSJSO). …”
  8. 88

    Simulation parameter. by Shanthi Amgothu (17692146)

    Published 2023
    “…In order to store the data, the hospitals require large storage devices that make the progression of data more complex. To bridge this gap, a potent scheme is established for COVID-19 prediction based fog-cloud named Caviar Squirrel Jellyfish Search Optimization (CSJSO). …”
  9. 89

    Systematic model of fog-cloud COVID prediction. by Shanthi Amgothu (17692146)

    Published 2023
    “…In order to store the data, the hospitals require large storage devices that make the progression of data more complex. To bridge this gap, a potent scheme is established for COVID-19 prediction based fog-cloud named Caviar Squirrel Jellyfish Search Optimization (CSJSO). …”
  10. 90

    Comparative discussion on database-2. by Shanthi Amgothu (17692146)

    Published 2023
    “…In order to store the data, the hospitals require large storage devices that make the progression of data more complex. To bridge this gap, a potent scheme is established for COVID-19 prediction based fog-cloud named Caviar Squirrel Jellyfish Search Optimization (CSJSO). …”
  11. 91

    Solution encoding. by Shanthi Amgothu (17692146)

    Published 2023
    “…In order to store the data, the hospitals require large storage devices that make the progression of data more complex. To bridge this gap, a potent scheme is established for COVID-19 prediction based fog-cloud named Caviar Squirrel Jellyfish Search Optimization (CSJSO). …”
  12. 92

    Architectural view of DNFN. by Shanthi Amgothu (17692146)

    Published 2023
    “…In order to store the data, the hospitals require large storage devices that make the progression of data more complex. To bridge this gap, a potent scheme is established for COVID-19 prediction based fog-cloud named Caviar Squirrel Jellyfish Search Optimization (CSJSO). …”
  13. 93

    Modelled view of cloud layer. by Shanthi Amgothu (17692146)

    Published 2023
    “…In order to store the data, the hospitals require large storage devices that make the progression of data more complex. To bridge this gap, a potent scheme is established for COVID-19 prediction based fog-cloud named Caviar Squirrel Jellyfish Search Optimization (CSJSO). …”
  14. 94

    Architecture of Deep LSTM. by Shanthi Amgothu (17692146)

    Published 2023
    “…In order to store the data, the hospitals require large storage devices that make the progression of data more complex. To bridge this gap, a potent scheme is established for COVID-19 prediction based fog-cloud named Caviar Squirrel Jellyfish Search Optimization (CSJSO). …”
  15. 95

    Architectural view of PSP-Net. by Shanthi Amgothu (17692146)

    Published 2023
    “…In order to store the data, the hospitals require large storage devices that make the progression of data more complex. To bridge this gap, a potent scheme is established for COVID-19 prediction based fog-cloud named Caviar Squirrel Jellyfish Search Optimization (CSJSO). …”
  16. 96

    Simulation parameters. by Shanthi Amgothu (17692146)

    Published 2023
    “…In order to store the data, the hospitals require large storage devices that make the progression of data more complex. To bridge this gap, a potent scheme is established for COVID-19 prediction based fog-cloud named Caviar Squirrel Jellyfish Search Optimization (CSJSO). …”
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    Table 1_Pixel-wise navigation line extraction of cross-growth-stage seedlings in complex sugarcane fields and extension to corn and rice.docx by Hongwei Li (17402)

    Published 2025
    “…Nevertheless, in field management of crop seedlings, numerous available studies involving navigation line extraction mainly focused on specific growth stages of specific crop seedlings so far, lacking a generalizable algorithm for addressing challenges under complex cross-growth-stage seedling conditions. …”