Showing 121 - 140 results of 10,963 for search '(((( data using algorithm ) OR ( data processing algorithm ))) OR ( element making algorithm ))', query time: 0.66s Refine Results
  1. 121

    Politus Dataset: A Political Public Opinion Dataset from Turkish Social Media Processed by Privacy-Preserving Artificial Intelligence Algorithms by Erdem Yörük (20428418)

    Published 2024
    “…<p dir="ltr">The Politus Dataset is a large-scale dataset designed to analyze political public opinion in Turkey, created from social media data on X (formerly Twitter) and processed using privacy-preserving artificial intelligence algorithms.…”
  2. 122
  3. 123

    ATF-DF-WA Algorithm Experimental Code by jinhao zhong (20616116)

    Published 2025
    “…<p dir="ltr">The provided code files serve the following purposes:</p><ul><li><b>Preprocess.py</b> – This script handles text preprocessing tasks, such as cleaning and preparing raw text data for further processing.</li><li><b>txtvec.py</b> – This script is responsible for text vectorization, converting processed text into numerical representations suitable for machine learning algorithms.…”
  4. 124
  5. 125
  6. 126
  7. 127
  8. 128
  9. 129

    Autoclave Molding Scheduling in Aerospace Composite Materials Production Using an Extended Whale Optimization Algorithm by Anonymous Authors (for blind review purpose) (20729908)

    Published 2025
    “…<p dir="ltr">This dataset supports the manuscript entitled "Autoclave Molding Scheduling in Aerospace Composite Materials Production Using an Extended Whale Optimization Algorithm." …”
  10. 130
  11. 131
  12. 132
  13. 133
  14. 134
  15. 135
  16. 136
  17. 137
  18. 138
  19. 139

    Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms by Kelechi Amamba (21022064)

    Published 2025
    “…<p dir="ltr">Credit Card Fraud Classification Using Applied Machine Learning – A Comparative Study of 24 ML Algorithms</p><p dir="ltr">This study describes an empirical evaluation of 24 machine learning models, including Logistic Regression, Decision Trees, Random Forests, Support Vector Machines and Neural Networks using a highly imbalanced fraud dataset that reflects the real-world where the data was culled from. …”
  20. 140