Showing 161 - 180 results of 703 for search '(((( algorithm ai function ) OR ( algorithm t4p function ))) OR ( algorithm python function ))*', query time: 0.44s Refine Results
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    S12 Fig - by Aastha Vatsyayan (9981916)

    Published 2024
    Subjects:
  9. 169

    Fig 2 - by Aastha Vatsyayan (9981916)

    Published 2024
    Subjects:
  10. 170

    Python code for a rule-based NLP model for mapping circular economy indicators to SDGs by Zahir Barahmand (18008947)

    Published 2025
    “…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”
  11. 171

    Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics by Paolo Cifani (1575613)

    Published 2021
    “…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”
  12. 172

    Discovery of Protein Modifications Using Differential Tandem Mass Spectrometry Proteomics by Paolo Cifani (1575613)

    Published 2021
    “…Termed SAMPEI for spectral alignment-based modified peptide identification, this open-source algorithm is designed for the discovery of functional protein and peptide signaling modifications, without prior knowledge of their identities. …”
  13. 173

    AI is in Your Classroom Even if You Didn't Know It by Lorena A. Barba (97553)

    Published 2023
    “…(True reasoning involving more than inference is still a challenge for AI.)</p><p><br></p><p dir="ltr">[slide 4]</p><p dir="ltr">Many times you will read definitions of machine learning that say something to the effect of “Field of study that gives computers the ability to learn without being explicitly programmed”—this is not entirely correct, because the computers are indeed explicitly programmed, implementing an algorithm that optimizes some function to fit the data, or finds parameters to a model, or otherwise solves a data-based problem.…”
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    Revisiting the “satisfaction of spatial restraints” approach of MODELLER for protein homology modeling by Giacomo Janson (8138517)

    Published 2019
    “…This program implements the “modeling by satisfaction of spatial restraints” strategy and its core algorithm has not been altered significantly since the early 1990s. …”
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