Predicting physical activity energy expenditure, types, and intensity using long short-term memory networks in aged 6-18 cross-stage populations.

Jiang L, Gao Y, Zhao C, Guo Z, Huang Z, Fan Q, Lai J, Su R, Zhang Y, Zhang J

DOI: 10.3389/fphys.2026.1852282
Published: 2026
Container: Frontiers in physiology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fphys.2026.1852282,
  title = {Predicting physical activity energy expenditure, types, and intensity using long short-term memory networks in aged 6-18 cross-stage populations.},
  author = {Jiang L and Gao Y and Zhao C and Guo Z and Huang Z and Fan Q and Lai J and Su R and Zhang Y and Zhang J},
  year = {2026},
  journal = {Frontiers in physiology},
  doi = {10.3389/fphys.2026.1852282},
  url = {https://doi.org/10.3389/fphys.2026.1852282}
}

RIS

TY  - JOUR
TI  - Predicting physical activity energy expenditure, types, and intensity using long short-term memory networks in aged 6-18 cross-stage populations.
AU  - Jiang L
AU  - Gao Y
AU  - Zhao C
AU  - Guo Z
AU  - Huang Z
AU  - Fan Q
AU  - Lai J
AU  - Su R
AU  - Zhang Y
AU  - Zhang J
PY  - 2026
JO  - Frontiers in physiology
DO  - 10.3389/fphys.2026.1852282
UR  - https://doi.org/10.3389/fphys.2026.1852282
ER  -

APA

L, J., Y, G., C, Z., Z, G., Z, H., Q, F., J, L., R, S., Y, Z., & J, Z. (2026). Predicting physical activity energy expenditure, types, and intensity using long short-term memory networks in aged 6-18 cross-stage populations.. Frontiers in physiology. https://doi.org/10.3389/fphys.2026.1852282

Source records

pubmed · retrieved 2026-11-10T09:01:54.637Z