PSI - Issue 77

Hugo Mesquita Vasconcelos et al. / Procedia Structural Integrity 77 (2026) 601–610 Hugo Mesquita Vasconcelos/ Structural Integrity Procedia 00 (2026) 000–000

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During the preparation of this work, the author Hugo Mesquita Vasconcelos used OpenAI’s ChatGPT to improve the readability and language of the manuscript. After using this tool/service, the author reviewed and edited the content as needed and takes full responsibility for the content of the published article. References Commons, M., 2007. Introduction to the Model of Hierarchical Complexity. https://doi.org/10.1037/h0100493 Commons, M.L., Chen, S.J., 2014. Advances in the model of hierarchical complexity (MHC). Commons, M.L., Giri, S., Harrigan, W.J., 2014. The small effects of non-hierarchical complexity variables on performance. Commons, M.L., Pekker, A., 2008. Presenting the Formal Theory of Hierarchical Complexity. World Futures 64, 375–382. https://doi.org/10.1080/02604020802301204 Commons, M.L., Robinett, T.L., 2013. Adult development: Predicting learning success. Training Industry Quarterly. Commons, M.L., Trudeau, E.J., Stein, S.A., Richards, F.A., Krause, S.R., 1998. Hierarchical Complexity of Tasks Shows the Existence of Developmental Stages, DEVELOPMENTAL REVIEW. Domingos, L.C.F., Santos, P.E., Skelton, P.S.M., Brinkworth, R.S.A., Sammut, K., 2022a. A Survey of Underwater Acoustic Data Classification Methods Using Deep Learning for Shoreline Surveillance. Sensors. https://doi.org/10.3390/s22062181 Domingos, L.C.F., Santos, P.E., Skelton, P.S.M., Brinkworth, R.S.A., Sammut, K., 2022b. An Investigation of Preprocessing Filters and Deep Learning Methods for Vessel Type Classification With Underwater Acoustic Data. IEEE Access 10, 117582–117596. https://doi.org/10.1109/ACCESS.2022.3220265 Duran, R., Sorva, J., Leite, S., 2018. Towards an analysis of program complexity from a cognitive perspective, in: ICER 2018 - Proceedings of the 2018 ACM Conference on International Computing Education Research. Association for Computing Machinery, Inc, pp. 21–30. https://doi.org/10.1145/3230977.3230986 He, K., Zhang, X., Ren, S., Sun, J., 2015. Deep Residual Learning for Image Recognition. International Energy Agency, 2025. World Energy Outlook Special Report Energy and AI. Leite, S., Mota, B., Silva, A.R., Commons, M.L., Miller, P.M., Rodrigues, P.P., 2023. Hierarchical growth in neural networks structure: Organizing inputs by Order of Hierarchical Complexity. PLoS One 18. https://doi.org/10.1371/journal.pone.0290743 ONC, 2025. Ocean Networks Canada [WWW Document]. OECD, 2025. Improving Policy Coherence for Portugal’s Ocean Economy: A Strategic Plan for Natural Resources. OECD Publishing. https://doi.org/10.1787/0b539499-en