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      Utilizing time series data from 1961 to 2019 recorded around the world and machine learning to create a Global Temperature Change Prediction Model

      Case Studies in Chemical and Environmental Engineering
      Elsevier BV

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          Stochastic gradient boosting

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            LightGBM: A Highly Efficient Gradient Boosting Decision Tree

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              Artificial neural network modeling of the river water quality—A case study

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                Contributors
                (View ORCID Profile)
                Journal
                Case Studies in Chemical and Environmental Engineering
                Case Studies in Chemical and Environmental Engineering
                Elsevier BV
                26660164
                June 2023
                June 2023
                : 7
                : 100312
                Article
                10.1016/j.cscee.2023.100312
                12d8abe1-71c7-482b-8998-ccc7f8c61a01
                © 2023

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

                http://creativecommons.org/licenses/by/4.0/

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