Heritage buildings are increasingly vulnerable to environmental challenges like air pollution
and climate change. Traditional preservation methods primarily rely on periodic inspections …

With its advancements in relation to computer science, artificial intelligence has great
potential for protecting and researching the world heritage Fujian earthen houses (Tulou) …

With the rapid development of machine learning technology, it has become possible to
automatically identify cultural heritage elements in traditional buildings. This research aimed …

The roofs of heritage buildings are subject to long-term degradation, resulting in poor heat
insulation, heat regulation, and water leakage prevention. Researchers have predominantly …

Accurate and timely data collection of material deterioration on the surfaces of architectural
heritage is crucial for effective conservation and restoration. Traditional methods rely heavily …

In this work, four mainstream machine learning (ML) techniques are used to evaluate the
bulk porosity and static elastic modulus of weathered Yungang Grottoes sandstone …

The hollow enemy towers are iconic structures of the Great Wall. During a survey of the Ming
Great Wall in Haigang District of Qinhuangdao, researchers observed differential weathering …

To enhance the precision of damage monitoring of cave paintings in cultural heritage
protection and to realize fast real-time detection, this paper proposes an intelligent …

The detection of deteriorated sections in ancient murals has posed a significant challenge
due to the wear caused by natural and human factors. In recent decades, various methods …