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Corrigendum: Addressing grading bias in rock climbing: machine and deep learning approaches

B O'Mara1, M S Mahmud1

  • 1Remote Sensing Laboratory, Department of Electrical and Computer Engineering, University of New Hampshire, Durham, NH, United States.

Frontiers in Sports and Active Living
|March 7, 2025
PubMed

Keywords:
boulderingdeep learningmachine learningrock climbingroute grade difficulty

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