Harnessing the power of AI and IoT for real-time CO2 emission monitoring.

Fan K, Li Q, Le Z, Li Q, Li J, Yan M

DOI: 10.1016/j.heliyon.2024.e36612
Published: 2024 Sep 15
Container: Heliyon
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1016/j.heliyon.2024.e36612,
  title = {Harnessing the power of AI and IoT for real-time CO2 emission monitoring.},
  author = {Fan K and Li Q and Le Z and Li Q and Li J and Yan M},
  year = {2024},
  journal = {Heliyon},
  doi = {10.1016/j.heliyon.2024.e36612},
  url = {https://doi.org/10.1016/j.heliyon.2024.e36612}
}

RIS

TY  - JOUR
TI  - Harnessing the power of AI and IoT for real-time CO2 emission monitoring.
AU  - Fan K
AU  - Li Q
AU  - Le Z
AU  - Li Q
AU  - Li J
AU  - Yan M
PY  - 2024
JO  - Heliyon
DO  - 10.1016/j.heliyon.2024.e36612
UR  - https://doi.org/10.1016/j.heliyon.2024.e36612
ER  -

APA

K, F., Q, L., Z, L., Q, L., J, L., & M, Y. (2024). Harnessing the power of AI and IoT for real-time CO2 emission monitoring.. Heliyon. https://doi.org/10.1016/j.heliyon.2024.e36612

Source records

pubmed · retrieved 2026-09-25T21:02:06.387Z