0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      Machine learning analysis to interpret the effect of the photocatalytic reaction rate constant (k) of semiconductor-based photocatalysts on dye removal

      , , , ,
      Journal of Hazardous Materials
      Elsevier BV

      Read this article at

      ScienceOpenPublisher
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Related collections

          Most cited references80

          • Record: found
          • Abstract: not found
          • Article: not found

          Feature Selection with theBorutaPackage

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Ecotoxicological and health concerns of persistent coloring pollutants of textile industry wastewater and treatment approaches for environmental safety

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Current treatment technologies and mechanisms for removal of indigo carmine dyes from wastewater: A review

                Bookmark

                Author and article information

                Journal
                Journal of Hazardous Materials
                Journal of Hazardous Materials
                Elsevier BV
                03043894
                March 2024
                March 2024
                : 465
                : 132995
                Article
                10.1016/j.jhazmat.2023.132995
                267f73ae-5855-4fa4-a4f7-ba47fee6d80d
                © 2024

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

                History

                Comments

                Comment on this article