@book{scholars19093,
            note = {cited By 0},
             doi = {10.1007/978-3-031-24231-1{$_1$}{$_0$}},
            year = {2023},
           title = {Machine Learning Application Guidelines in Flow Assurance},
       publisher = {Springer Nature},
         journal = {Machine Learning and Flow Assurance in Oil and Gas Production},
           pages = {175--177},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85174776536&doi=10.1007\%2f978-3-031-24231-1\%5f10&partnerID=40&md5=929af7ae1450461801a9457b6fb11f27},
        abstract = {In this chapter guidelines for conducting an effective machine learning based prediction models in flow assurance areas is presented with much emphasis of data availability, data representation and model selection. {\^A}{\copyright} The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.},
          author = {Bavoh, C. B. and Lal, B.},
            isbn = {9783031242311; 9783031242304}
}