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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Bibliografische Detailangaben

Hauptverfasser:	Xing Fu, Navid Razmjooy
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Nature Portfolio 2025-11-01
Schriftenreihe:	Scientific Reports
Schlagworte:	Cultural heritage Feature pyramid network Modified builder optimization algorithm Artistic style classification Digital restoration AI-generated art
Online-Zugang:	https://doi.org/10.1038/s41598-025-26564-2
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