Francesco Colace
Biographic Data
| ID | 941479 |
|---|---|
| NAME | Francesco Colace |
| GIVEN NAMES | Francesco |
| FAMILY NAME | Colace |
| SIGNATURE | COLACE F |
| AFFILIATIONS | University of Salerno |
| ORCID | 0000-0003-2798-5834 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Digital Twin for Cultural Heritage
The shift towards predictive and intelligent management models in cultural asset conservation has gained significance due to the intricacies of degradation processes and the necessity for sustainable preservation solutions. This project aims to develop a methodological framework for creating a Digital Twin (DT) for architectural heritage, which can integrate geometric, historical, environmental, and predictive data into a cohesive, dynamic system…
Artificial Intelligence in Archaeological Site Conservation
The conservation of archaeological heritage is important for understanding and preserving human history, but conventional approaches often cannot deal effectively with the magnitude and complexity of modern issues. The integration of AI (artificial intelligence) into archaeological methodologies is enhancing research, analysis, and preservation practices. This paper focuses on the changing dynamics of AI applications in archaeological research, p…
New AI challenges for cultural heritage protection
Cultural heritage plays an important social role in preserving collective identity and history, acting as a link between past, present and future. In this same context, the contribution of technological innovations plays a fundamental role as it provides the tools and solutions needed to address the issues of cultural heritage preservation and enhancement. This study presents a comprehensive review of the application of machine learning (ML) tech…
Ontology for E-Learning
In the last decade, the evolution of educational technologies has forced an extraordinary interest in new methods for delivering learning content to learners. Today, distance education represents an effective way for supporting and sometimes substituting the traditional formative processes, thanks to the technological improvements achieved in the field in recent years. However, the role of technology has often been overestimated. The amount of in…
New AI challenges for cultural heritage protection
Cultural heritage plays an important social role in preserving collective identity and history, acting as a link between past, present and future. In this same context, the contribution of technological innovations plays a fundamental role as it provides the tools and solutions needed to address the issues of cultural heritage preservation and enhancement. This study presents a comprehensive review of the application of machine learning (ML) tech…
Ontology for E-Learning
In the last decade, the evolution of educational technologies has forced an extraordinary interest in new methods for delivering learning content to learners. Today, distance education represents an effective way for supporting and sometimes substituting the traditional formative processes, thanks to the technological improvements achieved in the field in recent years. However, the role of technology has often been overestimated. The amount of in…
Artificial Intelligence in Archaeological Site Conservation
The conservation of archaeological heritage is important for understanding and preserving human history, but conventional approaches often cannot deal effectively with the magnitude and complexity of modern issues. The integration of AI (artificial intelligence) into archaeological methodologies is enhancing research, analysis, and preservation practices. This paper focuses on the changing dynamics of AI applications in archaeological research, p…
New AI challenges for cultural heritage protection
Cultural heritage plays an important social role in preserving collective identity and history, acting as a link between past, present and future. In this same context, the contribution of technological innovations plays a fundamental role as it provides the tools and solutions needed to address the issues of cultural heritage preservation and enhancement. This study presents a comprehensive review of the application of machine learning (ML) tech…
Digital Twin for Cultural Heritage
The shift towards predictive and intelligent management models in cultural asset conservation has gained significance due to the intricacies of degradation processes and the necessity for sustainable preservation solutions. This project aims to develop a methodological framework for creating a Digital Twin (DT) for architectural heritage, which can integrate geometric, historical, environmental, and predictive data into a cohesive, dynamic system…
3D Surveying and Cultural Heritage (3 works) · Archaeological Research and Protection (2 works) · Archaeology (2 works) · Conservation Techniques and Studies (2 works) · Cultural heritage (2 works) · History (2 works) · History (2 works) · Architectural engineering (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work)