Application of Machine Learning Methods to Investigate Joint Load in Agility on the Football Field: Creating the Model, Part I

Anne Benjaminse, Eline M. Nijmeijer, Alli Gokeler, Stefano Di Paolo

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DOI: 10.3390/s24113652
Published: 2024-06-05
Container: Sensors
Publisher: MDPI AG
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3390/s24113652,
  title = {Application of Machine Learning Methods to Investigate Joint Load in Agility on the Football Field: Creating the Model, Part I},
  author = {Anne Benjaminse and Eline M. Nijmeijer and Alli Gokeler and Stefano Di Paolo},
  year = {2024},
  journal = {Sensors},
  doi = {10.3390/s24113652},
  url = {https://doi.org/10.3390/s24113652}
}

RIS

TY  - JOUR
TI  - Application of Machine Learning Methods to Investigate Joint Load in Agility on the Football Field: Creating the Model, Part I
AU  - Anne Benjaminse
AU  - Eline M. Nijmeijer
AU  - Alli Gokeler
AU  - Stefano Di Paolo
PY  - 2024
JO  - Sensors
DO  - 10.3390/s24113652
UR  - https://doi.org/10.3390/s24113652
ER  -

APA

Benjaminse, A., Nijmeijer, E. M., Gokeler, A., & Paolo, S. D. (2024). Application of Machine Learning Methods to Investigate Joint Load in Agility on the Football Field: Creating the Model, Part I. Sensors. https://doi.org/10.3390/s24113652

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crossref · retrieved 2026-09-26T22:52:00.766Z