• A study on machine learning methods’ application for dye adsorption prediction onto agricultural waste activated carbon 

      Moosavi, Seyedehmaryam; Manta, Otilia; El-Badry, Yaser A.; Hussein, Enas E.; El-Bahy, Zeinhom M.; Mohd Fawzi, Noor fariza Binti; Urbonavičius, Jaunius; Moosavi, Seyed Mohammad Hossein (Nanomaterials: Special issue: Applications of nanomaterials in environmental science, 2021)
      The adsorption of dyes using 39 adsorbents (16 kinds of agro-wastes) were modeled using random forest (RF), decision tree (DT), and gradient boosting (GB) models based on 350 sets of adsorption experimental data. In addition, ...