Search alternatives:
surface optimization » surface contamination (Expand Search), resource optimization (Expand Search), swarm optimization (Expand Search)
primary data » primary care (Expand Search)
data surface » earth surface (Expand Search), metal surface (Expand Search), total surface (Expand Search)
binary mask » binary image (Expand Search)
mask global » major global (Expand Search), based global (Expand Search)
Showing 1 - 15 results of 15 for search '(( binary mask global optimization algorithm ) OR ( primary data surface optimization algorithm ))*', query time: 0.33s Refine Results
  1. 1
    Principle of the SVM algorithm.

    Principle of the SVM algorithm. by Anfeng Zhu (17817144)

    Published 2024
    Save to List
    Saved in:
  2. 2
    A construction method of a multidimensional and multilingual association network for earth surface system science data

    A construction method of a multidimensional and multilingual association network for earth surface system science data by Qinjun Qiu (13306416)

    Published 2025
    “…The method quantitatively computes one-dimensional and multidimensional similarities using five primary indicators of multilingual data, enabling semantic interconnection and facilitating knowledge discovery within open scientific data related to the Earth surface system. …”
    Save to List
    Saved in:
  3. 3
    Proposed model tuned hyperparameters.

    Proposed model tuned hyperparameters. by Subathra Gunasekaran (19492680)

    Published 2024
    “…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
    Save to List
    Saved in:
  4. 4
    The workflow of the proposed model.

    The workflow of the proposed model. by Subathra Gunasekaran (19492680)

    Published 2024
    “…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
    Save to List
    Saved in:
  5. 5
    ResNeXt101 training and results.

    ResNeXt101 training and results. by Subathra Gunasekaran (19492680)

    Published 2024
    “…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
    Save to List
    Saved in:
  6. 6
    Proposed model specificity and DSC outcomes.

    Proposed model specificity and DSC outcomes. by Subathra Gunasekaran (19492680)

    Published 2024
    “…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
    Save to List
    Saved in:
  7. 7
    Accuracy comparison of proposed and other models.

    Accuracy comparison of proposed and other models. by Subathra Gunasekaran (19492680)

    Published 2024
    “…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
    Save to List
    Saved in:
  8. 8
    Architecture of ConvNet.

    Architecture of ConvNet. by Subathra Gunasekaran (19492680)

    Published 2024
    “…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
    Save to List
    Saved in:
  9. 9
    Comparison of state-of-the-art method.

    Comparison of state-of-the-art method. by Subathra Gunasekaran (19492680)

    Published 2024
    “…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
    Save to List
    Saved in:
  10. 10
    Proposed model sensitivity outcome.

    Proposed model sensitivity outcome. by Subathra Gunasekaran (19492680)

    Published 2024
    “…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
    Save to List
    Saved in:
  11. 11
    Proposed ResNeXt101 operational flow.

    Proposed ResNeXt101 operational flow. by Subathra Gunasekaran (19492680)

    Published 2024
    “…This involves extracting features based on tumor shape, position, shape, and surface characteristics. To select the most informative features for effective segmentation, we utilize an advanced meta-heuristics algorithm called Advanced Whale Optimization (AWO). …”
    Save to List
    Saved in:
  12. 12
    Data used to drive the Double Layer Carbon Model in the Qinling Mountains.

    Data used to drive the Double Layer Carbon Model in the Qinling Mountains. by Huiwen Li (17705280)

    Published 2024
    “…</p><p dir="ltr">Here we provided the dataset used to drive the DLCM, including annual net primary production (NPP) from 1982 to 2018, SOC maps in the two soil layers during the 1980s, annual mean temperature maps from 1982 to 2018, and annual surface soil moisture and root-zone soil moisture maps from 1982 to 2018. …”
    Save to List
    Saved in:
  13. 13
    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
    Save to List
    Saved in:
  14. 14
    Molecular modeling and SEC analysis of CAR and CD46 binding.

    Molecular modeling and SEC analysis of CAR and CD46 binding. by A. Manuel Liaci (20642831)

    Published 2025
    Save to List
    Saved in:
  15. 15
    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles

    Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles by Soham Savarkar (21811825)

    Published 2025
    “…</p><p dir="ltr"><b>Applications and Model Compatibility:</b></p><p dir="ltr">The dataset is optimized for use in supervised learning workflows and has been tested with algorithms such as:</p><p dir="ltr">Gradient Boosting Machines (GBM),</p><p dir="ltr">Support Vector Machines (SVM-RBF),</p><p dir="ltr">Random Forests, and</p><p dir="ltr">Principal Component Analysis (PCA) for feature reduction.…”
    Save to List
    Saved in:

Search Tools: