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Proceedings of the International Conference on Digital Manufacturing –
                                         Volume 2

               Keawjaroen, P., & Suvanjumrat, C. (2017). A master shape of
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                    approach to estimate stress distribution: A fast and accurate
                    surrogate  of finite-element  analysis.  Journal of  the  Royal
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               Muslov, S. A., Pertsov, S. S., Chijmakov, E. A., Astashina, N. B.,
                    Nikitin, V. N., & Arutyunov, S. D.  (2023). Elastic linear,
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                    of  machine learning  and deep learning  in  finite element
                    analysis:  A   comprehensive   review.  Archives   of
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               Nguyen, D. T., Huynh, T. T. H., Nguyen, T. N., Nguyen, H. T.
                    M., & Truong, T. T. (2021). Finite element analysis for three-
                    dimensional hyper-elastic problems. Journal of Science and
                    Technology Development, 24(SI1), SI43-SI50.
               Pranckevičius, T., & Marcinkevičius, V. (2017). Comparison of
                    Naive Bayes, Random Forest, Decision Tree, Support Vector
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               Shahzad, M., Kamran, A., Siddiqui, M. Z., & Farhan, M. (2015).
                    Mechanical  characterization and  FE modelling of a
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