TimeGAN-based generative modelling for air quality index forecasting and missing data imputation in Indian cities

Priyal Singhal, Praneet Saurabh, Neetu Gupta

Open source

DOI: 10.1007/s44163-026-01892-y
Published: 2026-08-14
Container: Discover Artificial Intelligence
Publisher: Springer Science and Business Media LLC
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s44163-026-01892-y,
  title = {TimeGAN-based generative modelling for air quality index forecasting and missing data imputation in Indian cities},
  author = {Priyal Singhal and Praneet Saurabh and Neetu Gupta},
  year = {2026},
  journal = {Discover Artificial Intelligence},
  doi = {10.1007/s44163-026-01892-y},
  url = {https://doi.org/10.1007/s44163-026-01892-y}
}

RIS

TY  - JOUR
TI  - TimeGAN-based generative modelling for air quality index forecasting and missing data imputation in Indian cities
AU  - Priyal Singhal
AU  - Praneet Saurabh
AU  - Neetu Gupta
PY  - 2026
JO  - Discover Artificial Intelligence
DO  - 10.1007/s44163-026-01892-y
UR  - https://doi.org/10.1007/s44163-026-01892-y
ER  -

APA

Singhal, P., Saurabh, P., & Gupta, N. (2026). TimeGAN-based generative modelling for air quality index forecasting and missing data imputation in Indian cities. Discover Artificial Intelligence. https://doi.org/10.1007/s44163-026-01892-y

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crossref · retrieved 2026-09-25T19:59:10.018Z