Works (2)
Updated: March 29th, 2024 14:42
2023 article
Predicting Groundwater PFOA Exposure Risks with Bayesian Networks: Empirical Impact of Data Preprocessing on Model Performance
Li, R., & Gibson, J. M. D. (2023, August 18). ENVIRONMENTAL SCIENCE & TECHNOLOGY.
author keywords: Bayesian network; data processing; PFOA; PFAS; groundwater contamination; machine learning
TL;DR:
Evaluating how data preprocessing influences machine-learned Bayesian network models of PFOA in groundwater found a trade-off between data quality and model performance since a stricter data screening strategy decreased the sample size for model training.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
6. Clean Water and Sanitation
(Web of Science)
Source: Web Of Science
Added: September 5, 2023
2022 journal article
Predicting the occurrence of short-chain PFAS in groundwater using machine-learned Bayesian networks
FRONTIERS IN ENVIRONMENTAL SCIENCE, 10.
author keywords: Bayesian network (BN); exposure risk; short-chain PFAS; groundwater; spatial visualization; machine learning (ML)
open access via www.frontiersin.org (publisher PDF)
UN Sustainable Development Goal Categories
3. Good Health and Well-being
(Web of Science)
6. Clean Water and Sanitation
(Web of Science)
Source: Web Of Science
Added: December 5, 2022
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