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Showing 161 - 180 results of 1,072 for search '(( complement box algorithm ) OR ((( relevant study algorithm ) OR ( neural coding algorithm ))))', query time: 0.32s Refine Results
  1. 161
    Predicting CO<sub>2</sub> Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms

    Predicting CO<sub>2</sub> Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

    Published 2025
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  2. 162
    Predicting CO<sub>2</sub> Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms

    Predicting CO<sub>2</sub> Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

    Published 2025
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  3. 163
    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... by Quang Dung Dinh (20995766)

    Published 2025
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  4. 164
    Box-and-whisker plots showing the distributions of (a)Paddick Conformity Index (PCI), (b) Homogeneity Index (HI), (c) Gradient Index (GI), and (d) Normal Tissue Integral Dose (NTID) for the three algorithms (MC: salmon, AXB: light green, AAA: sky blue).

    Box-and-whisker plots showing the distributions of (a)Paddick Conformity Index (PCI), (b) Homogeneity Index (HI), (c) Gradient Index (GI), and (d) Normal Tissue Integral Dose (NTID... by Kainan Shao (8999378)

    Published 2025
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  5. 165
    A more realistic variant of capacitated vehicle routing problem: Methodology and a case study

    A more realistic variant of capacitated vehicle routing problem: Methodology and a case study by Yu Wu (54264)

    Published 2025
    “…<p>Motivated by a real-life daily urban logistics delivery task, we study a more realistic variant of capacitated Vehicle Routing Problem. …”
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  6. 166
    Characteristics of study participants.

    Characteristics of study participants. by Maeva El Bouchikhi (20442436)

    Published 2024
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  7. 167
    Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis

    Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis by Alan Glanz (22109698)

    Published 2025
    “…<h2><b>Genosophus: A Dynamical-Systems Diagnostic Engine for Neural Representation Analysis</b></h2><p dir="ltr"><b>© 2025 Alan J. …”
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  8. 168
    Yearly publication trends of reviewed studies.

    Yearly publication trends of reviewed studies. by Richard Apau (19681534)

    Published 2024
    “…As image steganography gains relevance, techniques for detecting hidden messages have emerged. …”
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  9. 169
    Performance characteristics for the three models in the testing datasets (20% from 2012–2018, and 2020).

    Performance characteristics for the three models in the testing datasets (20% from 2012–2018, and 2020). by Cynthia Lokker (3813832)

    Published 2024
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  10. 170
    Example depiction of the autoML process.

    Example depiction of the autoML process. by Cynthia Lokker (3813832)

    Published 2024
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  11. 171
    Prospective evaluation of model performance in >5000 articles retrieved from PubMed.

    Prospective evaluation of model performance in >5000 articles retrieved from PubMed. by Cynthia Lokker (3813832)

    Published 2024
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  12. 172
    Characteristics of the dataset, preprocessing, and feature extraction steps employed by AutoML in the training of the model selected from each dataset experiment<sup>b'*'</sup>.

    Characteristics of the dataset, preprocessing, and feature extraction steps employed by AutoML in the training of the model selected from each dataset experiment<sup>b'*'</sup>. by Cynthia Lokker (3813832)

    Published 2024
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  13. 173
    Fig 1 -

    Fig 1 - by Cynthia Lokker (3813832)

    Published 2024
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  14. 174
    Parameters and features used in the training of models using automated ML.

    Parameters and features used in the training of models using automated ML. by Cynthia Lokker (3813832)

    Published 2024
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  15. 175
    Code for MR-based diagnosis of PCNSL

    Code for MR-based diagnosis of PCNSL by Paul Naser (17776497)

    Published 2025
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  16. 176
    Distances between each depot and the terminal.

    Distances between each depot and the terminal. by Pengfei Huang (552512)

    Published 2025
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  17. 177
    Code.

    Code. by Pengfei Huang (552512)

    Published 2025
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  18. 178
    Comparison of results.

    Comparison of results. by Pengfei Huang (552512)

    Published 2025
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  19. 179
    Date.

    Date. by Pengfei Huang (552512)

    Published 2025
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  20. 180
    Notation list.

    Notation list. by Pengfei Huang (552512)

    Published 2025
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