Multi-task learning framework for predicting water quality using non-linear machine learning technique

D. Senthilkumar, D. George Washington, A.K. Reshmy, M. Noornisha

DOI: 10.3233/jifs-212117
Published: 2022-04-28
Container: Journal of Intelligent & Fuzzy Systems
Publisher: SAGE Publications
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3233/jifs-212117,
  title = {Multi-task learning framework for predicting water quality using non-linear machine learning technique},
  author = {D. Senthilkumar and D. George Washington and A.K. Reshmy and M. Noornisha},
  year = {2022},
  journal = {Journal of Intelligent \&amp; Fuzzy Systems},
  doi = {10.3233/jifs-212117},
  url = {https://doi.org/10.3233/jifs-212117}
}

RIS

TY  - JOUR
TI  - Multi-task learning framework for predicting water quality using non-linear machine learning technique
AU  - D. Senthilkumar
AU  - D. George Washington
AU  - A.K. Reshmy
AU  - M. Noornisha
PY  - 2022
JO  - Journal of Intelligent &amp; Fuzzy Systems
DO  - 10.3233/jifs-212117
UR  - https://doi.org/10.3233/jifs-212117
ER  -

APA

Senthilkumar, D., Washington, D. G., Reshmy, A., & Noornisha, M. (2022). Multi-task learning framework for predicting water quality using non-linear machine learning technique. Journal of Intelligent & Fuzzy Systems. https://doi.org/10.3233/jifs-212117

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crossref · retrieved 2026-09-25T04:56:41.673Z