4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: not found
      • Article: not found

      A machine learning-based iterative design approach to automate user satisfaction degree prediction in smart product-service system

      , , , , ,
      Computers & Industrial Engineering
      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 references76

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

          Learning representations by back-propagating errors

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

            A systematic design approach for service innovation of smart product-service systems

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

              Digital servitization in manufacturing: A systematic literature review and research agenda

                Bookmark

                Author and article information

                Journal
                Computers & Industrial Engineering
                Computers & Industrial Engineering
                Elsevier BV
                03608352
                March 2022
                March 2022
                : 165
                : 107939
                Article
                10.1016/j.cie.2022.107939
                f32d6825-dd2c-4e9e-8ba4-1a3babd1b894
                © 2022

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

                History

                Comments

                Comment on this article