Preserving and enhancing cultural heritage through art design using feature pyramid network optimized by modified builder optimization algorithm

Abstract Cultural heritage continues to be endangered by environmental, social, and political issues requiring new digital preservation methods. This paper proposes a deep learning framework consisting of an Feature Pyramid Network (FPN) and an Modified Builder Optimization Algorithm (MBOA) whose pu...

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Hlavní autoři:	Xing Fu, Navid Razmjooy
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Nature Portfolio 2025-11-01
Edice:	Scientific Reports
Témata:	Cultural heritage Feature pyramid network Modified builder optimization algorithm Artistic style classification Digital restoration AI-generated art
On-line přístup:	https://doi.org/10.1038/s41598-025-26564-2
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