Deep learning-based visual algorithms for identity and action recognition in engineering practical courses

Jun Ma, RuoYu Wang, WenQi Lan

Open source

DOI: 10.1038/s41598-026-45964-6
Published: 2026-03-31
Container: Scientific Reports
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-45964-6,
  title = {Deep learning-based visual algorithms for identity and action recognition in engineering practical courses},
  author = {Jun Ma and RuoYu Wang and WenQi Lan},
  year = {2026},
  journal = {Scientific Reports},
  doi = {10.1038/s41598-026-45964-6},
  url = {https://doi.org/10.1038/s41598-026-45964-6}
}

RIS

TY  - JOUR
TI  - Deep learning-based visual algorithms for identity and action recognition in engineering practical courses
AU  - Jun Ma
AU  - RuoYu Wang
AU  - WenQi Lan
PY  - 2026
JO  - Scientific Reports
DO  - 10.1038/s41598-026-45964-6
UR  - https://doi.org/10.1038/s41598-026-45964-6
ER  -

APA

Ma, J., Wang, R., & Lan, W. (2026). Deep learning-based visual algorithms for identity and action recognition in engineering practical courses. Scientific Reports. https://doi.org/10.1038/s41598-026-45964-6

Source records

crossref · retrieved 2026-09-25T20:33:22.938Z