يعرض 161 - 180 نتائج من 484 نتيجة بحث عن '(( python code predicted ) OR ( python study represents ))', وقت الاستعلام: 0.81s تنقيح النتائج
  1. 161
  2. 162
  3. 163
  4. 164

    Data and Codes for Geospatial Constrained Optimization حسب Anonymous Submission (9906927)

    منشور في 2020
    "…<div>The shared files provide data and codes to support the paper, which is titled "Geospatial Constrained Optimization to Simulate and Predict Spatiotemporal Trends of Air Pollutants". …"
  5. 165
  6. 166
  7. 167

    Table_1_SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data.DOCX حسب Chang Li (133800)

    منشور في 2022
    "…The new pipeline written in Python can classify variants by region (Coding Sequence, Untranslated Regions, upstream, downstream, intron), predict amino acid change type (missense, nonsense, etc.), and prioritize mutation effects (e.g., synonymous > non-synonymous) while being faster and more efficient. …"
  8. 168

    Data_Sheet_1_SNPAAMapper-Python: A highly efficient genome-wide SNP variant analysis pipeline for Next-Generation Sequencing data.docx حسب Chang Li (133800)

    منشور في 2022
    "…The new pipeline written in Python can classify variants by region (Coding Sequence, Untranslated Regions, upstream, downstream, intron), predict amino acid change type (missense, nonsense, etc.), and prioritize mutation effects (e.g., synonymous > non-synonymous) while being faster and more efficient. …"
  9. 169

    BGC-Prophet حسب Haohong Zhang (17911673)

    منشور في 2025
    "…/output/ --name split --threads 10</code></pre><p dir="ltr"><b>4. Gene Prediction</b></p><p dir="ltr">Detect BGC genes using a trained model:</p><pre><code>bgc_prophet predict --datasetPath .…"
  10. 170

    Presentation_1_Rule-based semi-automated tools for mapping seabed morphology from bathymetry data.pdf حسب Zhi Huang (472377)

    منشور في 2023
    "…The utility of these tools was tested across nine case study areas that represent a diverse range of complex bathymetric and physiographic settings. …"
  11. 171
  12. 172

    Connectivity Analysis of Adsorption Sites in Metal–Organic Frameworks for Facilitated Water Adsorption حسب Zhi-Xun Xu (12025031)

    منشور في 2023
    "…The developments herein are anticipated to largely facilitate the future discovery of optimal adsorbents for water harvesting or water-adsorption-related applications in general. A Python-based code for detecting CACs in porous materials is also provided along with this article to employ this approach.…"
  13. 173

    Connectivity Analysis of Adsorption Sites in Metal–Organic Frameworks for Facilitated Water Adsorption حسب Zhi-Xun Xu (12025031)

    منشور في 2023
    "…The developments herein are anticipated to largely facilitate the future discovery of optimal adsorbents for water harvesting or water-adsorption-related applications in general. A Python-based code for detecting CACs in porous materials is also provided along with this article to employ this approach.…"
  14. 174
  15. 175

    [DATASET] How do rift-related fault network distributions evolve? حسب Sophie Pan (12484179)

    منشور في 2023
    "…</p><p>(3) <b><u>Extracted fault statistics:</u></b> are the generated outputs from the Python scripts. ‘Geometric_relationships’ is the main excel database generated from ‘fault_extraction_analysis_2D.py’ whereby each row represents the data for one single fault (or label in python) and contains coordinates, strain, length etc. statistics. …"
  16. 176
  17. 177
  18. 178
  19. 179
  20. 180