Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources
- DOI
- 10.1017/eds.2024.14
- Published
- 2025
- Container
- Environmental Data Science
- Publisher
- Cambridge University Press (CUP)
- Open access
- unknown
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uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1017/eds.2024.14,
title = {Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources},
author = {Jared D. Willard and Charuleka Varadharajan and Xiaowei Jia and Vipin Kumar},
year = {2025},
journal = {Environmental Data Science},
doi = {10.1017/eds.2024.14},
url = {https://doi.org/10.1017/eds.2024.14}
}RIS
TY - JOUR TI - Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources AU - Jared D. Willard AU - Charuleka Varadharajan AU - Xiaowei Jia AU - Vipin Kumar PY - 2025 JO - Environmental Data Science DO - 10.1017/eds.2024.14 UR - https://doi.org/10.1017/eds.2024.14 ER -
APA
Willard, J. D., Varadharajan, C., Jia, X., & Kumar, V. (2025). Time series predictions in unmonitored sites: a survey of machine learning techniques in water resources. Environmental Data Science. https://doi.org/10.1017/eds.2024.14
Source records
- crossref · retrieved 2026-11-07T11:17:42.977Z