Search alternatives:
"python models represented" » "python models represent" (Expand Search), "python models representing" (Expand Search), "python model presented" (Expand Search), "motion models represented" (Expand Search), "pelton models represented" (Expand Search)
"python code implementing" » "python model implementing" (Expand Search), "python consider implementing" (Expand Search)
Showing 1 - 10 results of 10 for search '(((("python code implementing") OR ("python _ implementing"))) OR ("python models represented"))', query time: 0.31s Refine Results
  1. 1
    Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’), followed by a word frequency count (‘Counter’).

    Illustration of the text transformation process before and after synonym replacement: The process begins with a sample initial text segment (Sample text before synonym replacement’... by Enock Niyonkuru (21246879)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  2. 2
    Schematic of the approach: This schematic illustrates the entire workflow of the project.

    Schematic of the approach: This schematic illustrates the entire workflow of the project. by Enock Niyonkuru (21246879)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  3. 3
    Text Transformation Pipeline: An example of the multi-stage text transformation pipeline applied to a sample abstract (PMID: 30609739).

    Text Transformation Pipeline: An example of the multi-stage text transformation pipeline applied to a sample abstract (PMID: 30609739). by Enock Niyonkuru (21246879)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  4. 4
    Comparative analysis of WordNet replacement impact on data distribution.

    Comparative analysis of WordNet replacement impact on data distribution. by Enock Niyonkuru (21246879)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  5. 5
    Comparison of window size for embedding with Wordnet synonym replacement (WN) and without (PM). While Table 1 compared the effects of different values of using a window size of 10, this Table shows the results for three different window sizes at a =. Abbreviations are the same as for Table 1.

    Comparison of window size for embedding with Wordnet synonym replacement (WN) and without (PM). While Table 1 compared the effects of different values of using a window size of 10,... by Enock Niyonkuru (21246879)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  6. 6
    Non-biomedical word replacement algorithm: This algorithm outlines the process for replacing non-biomedical words in a corpus using WordNet.

    Non-biomedical word replacement algorithm: This algorithm outlines the process for replacing non-biomedical words in a corpus using WordNet. by Enock Niyonkuru (21246879)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  7. 7
    Comparison of mean interconcept distance for embedding with WordNet synonym replacement (WN) and without (PM). The initial number of unique concepts in the total corpus was 3,018,918. The Table summarizes results for different thresholds () and categories of concept/gene sets (M,B,K,G,P). Columns: : Replacement threshold; replaced: Unique Replaced Concepts; Category: M = MeSH, B = Biocarta, K = KEGG, G = GP(bp), P = PID; # sets: Number of concept/gene sets in the categories; #Concepts: number of concept vectors in the category; <i>WN better</i><i>: The count and percentage of concept/gene sets for which the mean interconcept distance was smaller for WN than for PM. “Winners” are shown in bold.;</i> <i>PM better</i><i>: Analogous to “WN better” but for PM.</i>

    Comparison of mean interconcept distance for embedding with WordNet synonym replacement (WN) and without (PM). The initial number of unique concepts in the total corpus was 3,018,9... by Enock Niyonkuru (21246879)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  8. 8
    Comparative analysis of WN and PM methodologies: Figure (a) displays the bar chart comparing WN and PM across five distinct concept sets (Methods), highlighting the number of concept sets where the cluster mean distance is significantly lower, indicative of superior embeddings.

    Comparative analysis of WN and PM methodologies: Figure (a) displays the bar chart comparing WN and PM across five distinct concept sets (Methods), highlighting the number of conce... by Enock Niyonkuru (21246879)

    Published 2025
    Subjects:
    Save to List
    Saved in:
  9. 9
    Source Code for the Hierarchical Key Assignment Scheme (HKAS)

    Source Code for the Hierarchical Key Assignment Scheme (HKAS) by Baris Celiktas (22804778)

    Published 2025
    Subjects: “…Hierarchical Key Assignment, Cryptography, Key Management, HKAS, Security Model, Python Implementation…”
    Save to List
    Saved in:
  10. 10
    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit

    EFGs: A Complete and Accurate Implementation of Ertl’s Functional Group Detection Algorithm in RDKit by Gonzalo Colmenarejo (650249)

    Published 2025
    Subjects:
    Save to List
    Saved in:

Search Tools: