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A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration

Ruxandra Stoean, Leonard Ionescu, Catalin Stoean, Marinela Boicea, Miguel Atencia, Gonzalo Joya. A Deep Learning-based Surrogate for the XRF Approximation of Elemental Composition within Archaeological Artefacts before Restoration. In Jaroslaw Watróbski, Wojciech Salabun, Carlos Toro 0001, Cecilia Zanni-Merk, Robert J. Howlett, Lakhmi C. Jain, editors, Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 25th International Conference KES-2021, Virtual Event / Szczecin, Poland, 8-10 September 2021. Volume 192 of Procedia Computer Science, pages 2002-2011, Elsevier, 2021. [doi]

Authors

Ruxandra Stoean

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Leonard Ionescu

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Catalin Stoean

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Marinela Boicea

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Miguel Atencia

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Gonzalo Joya

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