AI for enhanced water quality data imputation: a deep learning perspective
Our proposed framework suggests the mitigations of limitations of traditional imputation models via incorporation of novel concepts such as spatial–temporal datasets, dynamic ensemble modelling and I/O aware mechanisms.
Authors
- Shukra Raj Paudel (ORCID: https://orcid.org/0000-0002-5764-2990)
- Suman Poudel (ORCID: https://orcid.org/0000-0001-8331-7764)
- Ishan Prasad Banjara
- Kalam Pariyar
- Deepesh Upreti
- Antigoni Zafeirakou
Institutions
- Tribhuvan University (NP)
- Aristotle University of Thessaloniki (GR)
- Nepal Development Research Institute (NP)
Publication Details
- Journal
- Environmental Science Advances
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d4va00367e
- Citations
- 3
- Primary Topic
- Water Quality Monitoring Technologies
- Type
- article
- Field-Weighted Citation Impact
- 2.45