Incorporating sparse model machine learning in designing cultural heritage landscapes
Managing, protecting, and the evolutionary development of historical landscapes require
robust frameworks and processes for forming datasets and advanced decision support tools …
robust frameworks and processes for forming datasets and advanced decision support tools …
[HTML][HTML] BIM-Based Strategies for the Revitalization and Automated Management of Buildings: A Case Study
This study explores the transformative potential of integrating Building Information Modeling
(BIM) and Generative Design methodologies in heritage conservation and building …
(BIM) and Generative Design methodologies in heritage conservation and building …
[HTML][HTML] Artificial Intelligence at the Interface between Cultural Heritage and Photography: A Systematic Literature Review
C Silva, L Oliveira - Heritage, 2024 - mdpi.com
Artificial intelligence has inspired a significant number of studies on the interface between
cultural heritage and photography. The aims of these studies are, among others, to …
cultural heritage and photography. The aims of these studies are, among others, to …
Research on the application of CGAN in the design of historic building facades in urban renewal—taking Fujian Putian historic districts as an example
In recent years, artificial intelligence technology has widely influenced the design field,
introducing new ideas to efficiently and systematically solve urban renewal design …
introducing new ideas to efficiently and systematically solve urban renewal design …
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks
Discovering evolutionary traits that are heritable across species on the tree of life (also
referred to as a phylogenetic tree) is of great interest to biologists to understand how …
referred to as a phylogenetic tree) is of great interest to biologists to understand how …
[Retracted] Extraction of Intangible Cultural Heritage Visual Elements by Deep Learning and Its Application in Grassland Tourism of the Silk Road Culture
X Bu, M Jiang - Computational Intelligence and Neuroscience, 2022 - Wiley Online Library
Inner Mongolia is rich in grassland tourism resources, and the development of grassland
tourism is of great significance to Inner Mongolia tourism and promotion of grassland …
tourism is of great significance to Inner Mongolia tourism and promotion of grassland …
Using Generative AI for Reconstructing Cultural Artifacts: Examples Using Roman Coins
Generative AI, propelled by innovations like ChatGPT, has gained widespread recognition.
In the realm of archeology, there exists significant potential for generative AI, particularly in …
In the realm of archeology, there exists significant potential for generative AI, particularly in …
[PDF][PDF] Research on innovative applications of AI technology in the field of cultural heritage conservation
D Zou, Z Lin - Academic Journal of Humanities & Social …, 2024 - francis-press.com
Artificial Intelligence (AI) is develo** rapidly, and many countries are actively using AI to
protect, inherit, and innovate cultural heritage. This study aims to explore the application of …
protect, inherit, and innovate cultural heritage. This study aims to explore the application of …
Artificial Intelligence, Photography and Collaboration for Cultural Heritage Promotion and Preservation: State-of-the-Art Review
C Silva, L Oliveira - International Conference on Design and Digital …, 2024 - Springer
The expansion of photography has resulted in the production of an incalculable number of
images of cultural goods. At the same time, the photographic production process itself has …
images of cultural goods. At the same time, the photographic production process itself has …
Transforming the CIDOC-CRM model into a megalithic monument property graph
A Câmara, A Almeida, J Oliveira - 2024 - repositorio.iscte-iul.pt
This paper presents a method to store information about megalithic monument-building
components as graph nodes in a knowledge graph (KG). As a case study, we analyse the …
components as graph nodes in a knowledge graph (KG). As a case study, we analyse the …