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• W4296156491 abstract "The development of three-dimensional reconstruction technology with cultural heritage in traditional sports allows an accurate portrayal of this aspect of life. Cultural heritage can be documented, recovered, and shown with the tools and techniques. It is an important aspect of self-determination and the ability of marginalized groups to engage in social and cultural life fully. The most challenging aspects of national cultural sports heritage in reconstruction, including armed conflict and war, improper disposal, pollution, poaching, natural disasters, and destruction of heritage sites, have been determined. This article introduces (SCH-AI) new technology for sports cultural heritage (SCH), which develops an improved artificial intelligence (AI) that helps reduce armed conflict and war and promotes tolerance toward religions and people. Athletics improves by bringing individuals together in a social and economic context. Sports engagement boosts community health and productivity. When a clustering algorithm is used, it analyses the data that were provided identifying organic clusters or patterns in the space of features. Clustering is the process of dividing data into distinct subsets. The scenario depicts a strength and conditioning coach who wishes to establish alternative training in sports regimens for players with varying refinement sprint timing. The research of SCH-AI has many advantages; accessing traditional games is regarded as the ideal platform for promoting peace, harmony, and cultural heritage preservation. Sports are also part of the steps to recognize and preserve the rights of people, and it is the protection of their cultural legacy. Cultural heritage gives users a sense of belonging and harmony within a community and a greater understanding of earlier generations and their history." @default.
• W4296156491 created "2022-09-17" @default.
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• W4296156491 date "2022-09-08" @default.
• W4296156491 modified "2023-09-27" @default.
• W4296156491 title "Three-Dimensional Reconstruction of National Traditional Sports Cultural Heritage Based on Feature Clustering and Artificial Intelligence" @default.
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• W4296156491 doi "https://doi.org/10.1155/2022/8159045" @default.
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