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

M Kida, K Pochwat, S Ziembowicz - Journal of Hazardous Materials, 2024 - Elsevier
The aim of the work was to assess the usefulness of machine learning in predicting the
migration of pollutants from microplastics. The search for methods to reduce unnecessary …
被引用次数：10 相关文章

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

M Kida, K Pochwat, S Ziembowicz - Journal of hazardous … - pubmed.ncbi.nlm.nih.gov
The aim of the work was to assess the usefulness of machine learning in predicting the
migration of pollutants from microplastics. The search for methods to reduce unnecessary …

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

M Kida, K Pochwat… - Journal of Hazardous …, 2024 - ui.adsabs.harvard.edu
The aim of the work was to assess the usefulness of machine learning in predicting the
migration of pollutants from microplastics. The search for methods to reduce unnecessary …

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

M Kida, K Pochwat, S Ziembowicz - Journal of Hazardous Materials, 2023 - europepmc.org
The aim of the work was to assess the usefulness of machine learning in predicting the
migration of pollutants from microplastics. The search for methods to reduce unnecessary …