Assessment of machine learning-based methods predictive suitability for migration pollutants from microplastics degradation

Author:

Kida Małgorzata,Pochwat Kamil,Ziembowicz SabinaORCID

Funder

Narodowe Centrum Nauki

Ministerstwo Edukacji i Nauki Rzeczypospolitej Polskiej

Publisher

Elsevier BV

Subject

Health, Toxicology and Mutagenesis,Pollution,Waste Management and Disposal,Environmental Chemistry,Environmental Engineering

Reference52 articles.

1. Methods for improving regression analysis for skewed continuous or counted responses;Afifi;Annu Rev Public Health,2007

2. Physisorption and chemisorption mechanisms influencing micro (nano) plastics-organic chemical contaminants interactions: a review;Agboola;Front Environ Sci,2021

3. Machine learning methods for better water quality prediction;Ahmed;J Hydrol,2019

4. Sample size tables for correlation analysis with applications in partial correlation and multiple regression analysis;Algina;Multivar Behav Res,2003

5. Development of air quality monitoring (AQM) models using different machine learning approaches;Amuthadevi;J Ambient Intell Humaniz Comput,2021

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