Showing 181 - 200 results of 7,463 for search 'computer science practical', query time: 0.20s Refine Results
  1. 181
  2. 182

    Machine Learning Applications in Use-Wear Analysis: A Critical Review by Anastasia Eleftheriadou, Shannon P. McPherron, João Marreiros

    Published 2025-06-01
    “…Firstly, the limited adoption of open science practices restricts the creation of large datasets and hinders reproducibility and transparency. …”
    Get full text
    Article
  3. 183
  4. 184
  5. 185
  6. 186

    Drone methods and educational resources for plant science and agriculture by Travis A. Parker, Burcu Celebioglu, Mark Watson, Paul Gepts

    Published 2025-08-01
    “…Methods can be flexibly combined to extract data related to canopy temperature, area, height, volume, vegetation indices, and summary statistics derived from complex segmentations and classifications including using methods based on artificial intelligence (AI), computer vision, and machine learning. We then describe educational and training resources for these methods, including a web page (PlantScienceDroneMethods.github.io) and an educational YouTube channel (https://www.youtube.com/@travisparkerplantscience) with step-by-step protocols, example data, and example scripts for the whole drone data processing pipeline. …”
    Get full text
    Article
  7. 187

    The Opportunities and Challenges in Integrating AI with Quantum Computing by Tomasz Słapczyński, Marlena Stradomska

    Published 2025-06-01
    “…Despite these challenges, the synergistic potential of AI-QC integration remains immense, promising a paradigm shift in computational capabilities with the continued advancement of both fields, ultimately poised to revolutionize science, industry, and society …”
    Get full text
    Article
  8. 188
  9. 189
  10. 190
  11. 191
  12. 192
  13. 193
  14. 194
  15. 195
  16. 196
  17. 197
  18. 198

    Enabling data‐driven collaborative and reproducible environmental synthesis science by Julien Brun, Nicholas J. Lyon, Angel Chen, Ingrid Slette, Gabriel De La Rosa, Jennifer E. Caselle, Frank W. Davis, Martha R. Downs

    Published 2025-06-01
    “…We hope that other groups supporting team‐ and data‐driven science (in environmental science and beyond) will benefit from the lessons we have learned over the years through trial and error.…”
    Get full text
    Article
  19. 199
  20. 200