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An Application of Artificial Intelligence and Genetic Algorithm to Support the Discovering of Roman Centuriation Remains

  • Pietro Fusco,
  • Salvatore Venticinque

摘要

Methodologies and technologies for uncovering archaeological ruins and objects have been advanced by the utilization of Artificial Intelligence (AI). AI supports archaeologists to discover remains that are difficult to be identified manually as they must be sought on a vast territory or because they are hidden from direct observation. Here we present a methodology that integrates deep learning, computer vision and genetic algorithm techniques to identify, from large aerial pictures, remains of the Centuriation, which is an ancient Roman system for the division of lands.