首页|Studies from Wuhan University of Technology Describe New Findings in Artificial Intelligence (Novel Approach to Protect Red Revolutionary Heritage Based on Arti ficial Intelligence Algorithm and Image-Processing Technology)

Studies from Wuhan University of Technology Describe New Findings in Artificial Intelligence (Novel Approach to Protect Red Revolutionary Heritage Based on Arti ficial Intelligence Algorithm and Image-Processing Technology)

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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Data detailed on artificial intelligence have bee n presented. According to news originating from Wuhan, People's Republic of Chin a, by NewsRx editors, the research stated, "The red revolutionary heritage is a valuable part of China's historical and cultural legacy, with the potential to g enerate economic benefits through its thoughtful development." The news journalists obtained a quote from the research from Wuhan University of Technology: "However, challenges such as insufficient understanding, lack of co mprehensive planning and layout, and limited protection and utilization methods hinder the full realization of the political, cultural, and economic value of re d heritage. To address these problems, this paper thoroughly examines the curren t state of red revolutionary heritage protection and identifies the problems wit hin the preservation process. Moreover, it proposes leveraging advanced artifici al intelligence (AI) technology to repair some damaged image data. Specifically, this paper introduces a red revolutionary cultural relic image-restoration mode l based on a generative adversarial network (GAN). This model was trained using samples of damaged image and utilizes high-quality models to restore these image s effectively."

Wuhan University of TechnologyWuhanP eople's Republic of ChinaAsiaAlgorithmsArtificial IntelligenceEmerging T echnologiesMachine LearningTechnology

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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年,卷(期):2024.(Oct.3)