Predicting Groundwater PFOA Exposure Risks with Bayesian Networks: Empirical Impact of Data Preprocessing on Model Performance
R Li, JMD Gibson - Environmental Science & Technology, 2023 - ACS Publications
The plethora of data on PFASs in environmental samples collected in response to growing
concern about these chemicals could enable the training of machine-learning models for …
concern about these chemicals could enable the training of machine-learning models for …
Prediction of 35 Target Per-and Polyfluoroalkyl Substances (PFASs) in California Groundwater Using Multilabel Semisupervised Machine Learning
J Dong, G Tsai, CI Olivares - ACS ES&T Water, 2023 - ACS Publications
Comprehensive monitoring of perfluoroalkyl and polyfluoroalkyl substances (PFASs) is
challenging because of the high analytical cost and an increasing number of analytes. We …
challenging because of the high analytical cost and an increasing number of analytes. We …
Comprehensive Review of Global Perspectives on Per-and Polyfluoroalkyl Compounds: Occurrence, Fate, and Remediation in Groundwater Systems
M Benaafi, A Bafaqeer - Water, 2024 - mdpi.com
Groundwater contamination with per-and polyfluoroalkyl compounds (PFASs) has become a
growing worldwide environmental issue. The current review comprehensively evaluates the …
growing worldwide environmental issue. The current review comprehensively evaluates the …
Fate, distribution, and transport dynamics of Per-and Polyfluoroalkyl Substances (PFASs) in the environment
Abstract Per-and Polyfluoroalkyl Substances (PFASs) are persistent organic pollutants with
significant environmental and health impacts due to their widespread occurrence …
significant environmental and health impacts due to their widespread occurrence …
[HTML][HTML] Associations of cord plasma per-and polyfluoroakyl substances (PFAS) with neonatal and child body composition and adiposity: The GUSTO study
Background The influence of prenatal exposure to per-and poly-fluoroalkyl substances
(PFAS) on birth size and offspring adiposity is unclear, especially for the newer, shorter …
(PFAS) on birth size and offspring adiposity is unclear, especially for the newer, shorter …
An artificial intelligence platform for automated PFAS subgroup classification: A discovery tool for PFAS screening
A Su, Y Cheng, C Zhang, YF Yang, YB She… - Science of The Total …, 2024 - Elsevier
Since structural analyses and toxicity assessments have not been able to keep up with the
discovery of unknown per-and polyfluoroalkyl substances (PFAS), there is an urgent need …
discovery of unknown per-and polyfluoroalkyl substances (PFAS), there is an urgent need …
A Multi-Factor Analysis Linking Environmental Stressors with Presence of Per-and Polyfluoroalkyl Substances (PFAS) in a Coastal Lagoon
SE Santiago Borrés, S Kumar, JC Bonzongo… - ACS ES&T …, 2024 - ACS Publications
Per-and polyfluoroalkyl substances (PFAS) pose significant environmental and health risks
due to their unique physicochemical properties, which influence their environmental fate and …
due to their unique physicochemical properties, which influence their environmental fate and …
Estimating the individual stillborn rate from easy-to-collect sow data on farm: an application of the bayesian network model
C Teixeira Costa, G Boulbria, C Dutertre… - Porcine Health …, 2024 - Springer
Background A high number of stillborn piglets has a negative impact on production and
animal welfare. It is an important contributor to piglet mortality around farrowing and …
animal welfare. It is an important contributor to piglet mortality around farrowing and …
Application Of Machine Learning To Understand Pfas Occurrence, Distribution, Transport And Removal In Water
A Ajao - 2024 - preprints.org
Per-and polyfluoroalkyl substances (PFAS) are arguably the most common water
contaminants in the world today. While several research experiments have been done to …
contaminants in the world today. While several research experiments have been done to …