Machine learning to predict the adsorption capacity of microplastics

HIGHLIGHTS

• who: Gonzalo Astray and collaborators from the Universidade de Vigo, Departamento de Quu00edmica Fu00edsica, Facultade de Ciencias, Ourense, Spain have published the paper: Machine Learning to Predict the Adsorption Capacity of Microplastics, in the Journal: Nanomaterials 2023, 1061 of /2023/
• what: An example of this is the research carried out by Yan et_al ; the aim was to develop an ensemble machine_learning method capable of classifying and identifying MPs by attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) data. In the research presented in this article, the SVM models were implemented using the LibSVM learner . . .
  

   

  

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