Improved style transfer algorithm in decorative design of ceramic painting

Review Computer Science, Interdisciplinary Applications

Computer Vision Techniques in Construction: A Critical Review

Shuyuan Xu et al.

Summary: Computer vision has gained significant interest in various research areas, with the architecture, engineering, construction, and facility management sector being one of the most intensive fields using vision-based systems/methods. Research indicates the potential of computer vision in assisting on-site managerial tasks in construction sites, while also presenting challenges.

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING (2021)

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Review Construction & Building Technology

State-of-the-art review of geotechnical-driven artificial intelligence techniques in underground soil-structure interaction

S. C. Jong et al.

Summary: This paper reviews the application of Artificial Intelligence techniques in studying underground soil-structure interaction, provides an overview of different AI techniques, and discusses the capabilities and limitations of these techniques in underground construction.

TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY (2021)

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Article Computer Science, Interdisciplinary Applications

Study on artificial intelligence: The state of the art and future prospects

Caiming Zhang et al.

Summary: This study explores popular articles related to artificial intelligence published in recent years in order to provide a review of AI based on industry information integration. It clarifies the current state of the art of AI and aims to contribute important insights for future research. The main contribution is providing a clear overview of the scope of AI for practitioners in the real world.

JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION (2021)

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Article Engineering, Multidisciplinary

The use of data mining and artificial intelligence technology in art colors and graph and images of computer vision under 6G internet of things communication

Ziang Ye et al.

Summary: By combining relevant feedback technology with the K-NN algorithm, this research designed and optimized image data mining technology to improve accuracy. Through actual feature extraction tests, it was found that the negative feedback K-NN algorithm performs best in extracting image shape features.

INTERNATIONAL JOURNAL OF SYSTEM ASSURANCE ENGINEERING AND MANAGEMENT (2021)

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Article Engineering, Multidisciplinary