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Showing 1 - 20 results of 240 for search 'python ((code represent) OR (_ represents))', query time: 0.29s Refine Results
  1. 1
    Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool

    Multi-Version PYZ Builder Script: A Universal Python Module Creation Tool by Pavel Izosimov (20096259)

    Published 2024
    “…This tool represents a significant advancement in the realm of <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank"><b>secure code sharing</b></a>, providing a robust solution for modern Python programming challenges.…”
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  2. 2
    Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration.

    Resolving Harvesting Errors in Institutional Repository Migration : Using Python Scripts with VS Code and LLM Integration. by satoshi hashimoto(橋本 郷史) (18851272)

    Published 2025
    “…Therefore, we decided to create a dedicated Python program using Large Language Model (LLM)-assisted coding.…”
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  3. 3
    System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool

    System Hardware ID Generator Script: A Cross-Platform Hardware Identification Tool by Pavel Izosimov (20096259)

    Published 2024
    “…This tool provides <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">code obfuscation in Python</a> and <a href="https://xn--mxac.net/secure-python-code-manager.html" target="_blank">Python code encryption</a>, enabling developers to <a href="https://xn--mxac.net/local-python-code-protector.html" target="_blank">protect Python code</a> effectively.…”
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  4. 4
    Correlation (a) and Mean-Absolute-Error (b) between frequencies at a reference cutoff, δ<sub>0</sub>, and different frequencies, , at different cutoff-values, δ<sub>scan</sub> ∊ [3.0,5.5] Å, for selected, representative peaks (c,d,e) of the heavy-atom—heavy-atom distance-distributions shown in S2 Fig.

    Correlation (a) and Mean-Absolute-Error (b) between frequencies at a reference cutoff, δ<sub>0</sub>, and different frequencies, , at different cutoff-values, δ<sub>scan</sub> ∊ [3... by Guillermo Pérez-Hernández (21156182)

    Published 2025
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  5. 5
    City-level GDP estimates for China under alternative pathways from 2020 to 2100-python code

    City-level GDP estimates for China under alternative pathways from 2020 to 2100-python code by Jinjie Sun (11791715)

    Published 2025
    “…The dataset is complemented by processing code and raw input data in the "Python_Code" directory to ensure full reproducibility. …”
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  6. 6
    SCADET algorithm parameter configuration (Python implementation).

    SCADET algorithm parameter configuration (Python implementation). by Xiaolong Zhang (470454)

    Published 2025
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  7. 7
    Code program.

    Code program. by Honglei Pang (22693724)

    Published 2025
    “…<div><p>Vehicle lateral stability control under hazardous operating conditions represents a pivotal challenge in intelligent driving active safety. …”
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  8. 8
    Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions

    Python code for hierarchical cluster analysis of detected R-strategies from rule-based NLP on 500 circular economy definitions by Zahir Barahmand (18008947)

    Published 2025
    “…</p><p dir="ltr">This Python code was optimized and debugged using ChatGPT-4o to ensure implementation efficiency, accuracy, and clarity.…”
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  9. 9
    Representative examples of scanned intake forms.

    Representative examples of scanned intake forms. by Yojiro Umezaki (5916593)

    Published 2025
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  10. 10
    A list of all facial muscle movements mentioned in the chimpFACS manual [5] and considered in our present study.

    A list of all facial muscle movements mentioned in the chimpFACS manual [5] and considered in our present study. by Aisha Mahmoud (20623732)

    Published 2025
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  11. 11
    A list of all facial muscle movements mentioned in the catFACS manual [14] and considered in our present study.

    A list of all facial muscle movements mentioned in the catFACS manual [14] and considered in our present study. by Aisha Mahmoud (20623732)

    Published 2025
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  12. 12
    In silico Toxicity Prediction, PA represent the Prediction accuracy, and AS represents the average similarity, toxicity profile ().

    In silico Toxicity Prediction, PA represent the Prediction accuracy, and AS represents the average similarity, toxicity profile (). by Kassim Folorunsho Adebambo (22806479)

    Published 2025
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  13. 13
    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
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  14. 14
    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
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  15. 15
    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
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  16. 16
    Comparative analysis of WordNet replacement impact on data distribution.

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

    Published 2025
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  17. 17
    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
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  18. 18
    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
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  19. 19
    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
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  20. 20
    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
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