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

      Data-driven approaches for predicting wax deposition

      Energy
      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 references34

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

          What is a support vector machine?

          Support vector machines (SVMs) are becoming popular in a wide variety of biological applications. But, what exactly are SVMs and how do they work? And what are their most promising applications in the life sciences?
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Artificial neural networks for the prediction of the energy consumption of a passive solar building

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found
              Is Open Access

              Comparison of machine learning methods for estimating permeability and porosity of oil reservoirs via petro-physical logs

                Bookmark

                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Energy
                Energy
                Elsevier BV
                03605442
                February 2023
                February 2023
                : 265
                : 126296
                Article
                10.1016/j.energy.2022.126296
                d6f0a229-94ab-40ec-94c4-bfe3fc8dacf0
                © 2023

                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