Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction

Israel Edem Agbehadji, Ibidun Christiana Obagbuwa

Open source

DOI
10.3390/atmos15111352
Published
2024-11-10
Container
Atmosphere
Publisher
MDPI AG
Open access
unknown

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BibTeX

@article{allodium:10.3390/atmos15111352,
  title = {Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction},
  author = {Israel Edem Agbehadji and Ibidun Christiana Obagbuwa},
  year = {2024},
  journal = {Atmosphere},
  doi = {10.3390/atmos15111352},
  url = {https://doi.org/10.3390/atmos15111352}
}

RIS

TY  - JOUR
TI  - Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction
AU  - Israel Edem Agbehadji
AU  - Ibidun Christiana Obagbuwa
PY  - 2024
JO  - Atmosphere
DO  - 10.3390/atmos15111352
UR  - https://doi.org/10.3390/atmos15111352
ER  - 

APA

Agbehadji, I. E., & Obagbuwa, I. C. (2024). Systematic Review of Machine Learning and Deep Learning Techniques for Spatiotemporal Air Quality Prediction. Atmosphere. https://doi.org/10.3390/atmos15111352

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