Exploring Online Teaching Design of Curriculum Politics by Deep Learning and Visual Sensing Technology.

Huang X, Xie Y, Li Y

DOI: 10.1155/2022/1283256
Published: 2022
Container: Computational intelligence and neuroscience
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1155/2022/1283256,
  title = {Exploring Online Teaching Design of Curriculum Politics by Deep Learning and Visual Sensing Technology.},
  author = {Huang X and Xie Y and Li Y},
  year = {2022},
  journal = {Computational intelligence and neuroscience},
  doi = {10.1155/2022/1283256},
  url = {https://doi.org/10.1155/2022/1283256}
}

RIS

TY  - JOUR
TI  - Exploring Online Teaching Design of Curriculum Politics by Deep Learning and Visual Sensing Technology.
AU  - Huang X
AU  - Xie Y
AU  - Li Y
PY  - 2022
JO  - Computational intelligence and neuroscience
DO  - 10.1155/2022/1283256
UR  - https://doi.org/10.1155/2022/1283256
ER  -

APA

X, H., Y, X., & Y, L. (2022). Exploring Online Teaching Design of Curriculum Politics by Deep Learning and Visual Sensing Technology.. Computational intelligence and neuroscience. https://doi.org/10.1155/2022/1283256

Source records

pubmed · retrieved 2026-09-25T05:22:07.051Z
europe-pmc · retrieved 2026-09-25T05:22:07.093Z