A global machine learning framework for classifying national CO2 emission levels: responsible and explainable artificial intelligence for sustainable climate governance

Muhammad Ali Khawaja, Muhammad Farooq Shaikh

Open source

DOI: 10.3389/frai.2026.1943572
Published: 2026-10-16
Container: Frontiers in Artificial Intelligence
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/frai.2026.1943572,
  title = {A global machine learning framework for classifying national CO2 emission levels: responsible and explainable artificial intelligence for sustainable climate governance},
  author = {Muhammad Ali Khawaja and Muhammad Farooq Shaikh},
  year = {2026},
  journal = {Frontiers in Artificial Intelligence},
  doi = {10.3389/frai.2026.1943572},
  url = {https://doi.org/10.3389/frai.2026.1943572}
}

RIS

TY  - JOUR
TI  - A global machine learning framework for classifying national CO2 emission levels: responsible and explainable artificial intelligence for sustainable climate governance
AU  - Muhammad Ali Khawaja
AU  - Muhammad Farooq Shaikh
PY  - 2026
JO  - Frontiers in Artificial Intelligence
DO  - 10.3389/frai.2026.1943572
UR  - https://doi.org/10.3389/frai.2026.1943572
ER  -

APA

Khawaja, M. A., & Shaikh, M. F. (2026). A global machine learning framework for classifying national CO2 emission levels: responsible and explainable artificial intelligence for sustainable climate governance. Frontiers in Artificial Intelligence. https://doi.org/10.3389/frai.2026.1943572

Source records

crossref · retrieved 2026-11-03T12:32:47.081Z