Work

Prediction and analysis of skin damage of traditional building in southern Fujian based on machine learning

Year: 2025

Type: conference-paper

Source: International Conference on Computer Graphics, Image and Virtualization (ICCGIV)

DOI: 10.1109/iccgiv65419.2025.11085245

Authors: Xiaoli Fu, Niwat Angkawisittpan, Guifen Lyu, Ying Zhu

Institutions: Xiamen Institute of Technology, Mahasarakham University, Huaqiao University

Language: English

Topic: Building materials and conservation

Subfield: Earth-Surface Processes

Field: Earth and Planetary Sciences

Domain: Physical Sciences

SDGs: Sustainable cities and communities, Industry, innovation and infrastructure

Open Access status: closed

Funders: Ministry of Education, National Natural Science Foundation of China

OpenAlex ID: W4413158242

FWCI:

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