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      Machine learning based technique for outlier detection and result prediction in combustion diagnostics

      , ,
      Energy
      Elsevier BV

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          User's guide to correlation coefficients

          When writing a manuscript, we often use words such as perfect, strong, good or weak to name the strength of the relationship between variables. However, it is unclear where a good relationship turns into a strong one. The same strength of r is named differently by several researchers. Therefore, there is an absolute necessity to explicitly report the strength and direction of r while reporting correlation coefficients in manuscripts. This article aims to familiarize medical readers with several different correlation coefficients reported in medical manuscripts, clarify confounding aspects and summarize the naming practices for the strength of correlation coefficients.
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            Forecasting yield by integrating agrarian factors and machine learning models: A survey

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              The extended tanh method and its applications for solving nonlinear physical models

              M.A. Abdou (2007)
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                Author and article information

                Contributors
                Journal
                Energy
                Energy
                Elsevier BV
                03605442
                March 2024
                March 2024
                : 290
                : 130218
                Article
                10.1016/j.energy.2023.130218
                959ec9e5-28a4-431d-b60d-bbae4f33a377
                © 2024

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

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                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

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