Log In Sign Up

The computerization of archaeology: survey on AI techniques

by   Lorenzo Mantovan, et al.

This paper analyses the application of artificial intelligence techniques to various areas of archaeology and more specifically: a) The use of software tools as a creative stimulus for the organization of exhibitions; the use of humanoid robots and holographic displays as guides that interact and involve museum visitors; b) The analysis of methods for the classification of fragments found in archaeological excavations and for the reconstruction of ceramics, with the recomposition of the parts of text missing from historical documents and epigraphs; c) The cataloguing and study of human remains to understand the social and historical context of belonging with the demonstration of the effectiveness of the AI techniques used; d) The detection of particularly difficult terrestrial archaeological sites with the analysis of the architectures of the Artificial Neural Networks most suitable for solving the problems presented by the site; the design of a study for the exploration of marine archaeological sites, located at depths that cannot be reached by man, through the construction of a freely explorable 3D version.


page 10

page 13

page 20

page 22

page 23

page 29

page 38

page 39


Artificial Intelligence Approaches To UCAV Autonomy

This paper covers a number of approaches that leverage Artificial Intell...

Dimensions of Neural-symbolic Integration - A Structured Survey

Research on integrated neural-symbolic systems has made significant prog...

Can Artificial Intelligence Reconstruct Ancient Mosaics?

A large number of ancient mosaics have not reached us because they have ...

Artificial Intelligence for Social Good: A Survey

Artificial intelligence for social good (AI4SG) is a research theme that...

Machine learning and evolutionary techniques in interplanetary trajectory design

After providing a brief historical overview on the synergies between art...

Bayesian Neural Networks for Geothermal Resource Assessment: Prediction with Uncertainty

We consider the application of machine learning to the evaluation of geo...

Ceramics Fragments Digitization by Photogrammetry, Reconstructions and Applications

This paper presents an application of photogrammetry on ceramic fragment...