THE MENSIOCHRONOLOGY ANALYSIS SUPPORTED BY NEW ADVANCED SURVEY TECHNIQUES: FIELD TESTS IN MILANESE AREA

5 citations as recorded by crossref.

1. Deep Learning for the Segmentation of Large-Scale Surveys of Historic Masonry: A New Tool for Building Archaeology Applied at the Basilica of St Anthony in Padua L. Vandenabeele et al. https://doi.org/10.1080/15583058.2023.2260771
2. Non-Invasive Characterisation of the Wall Paintings in the Byzantine Church of Palazzo Simi (Bari, Italy) and Digital Photogrammetric Survey for a Pigment Mapping G. Fioretti et al. https://doi.org/10.3390/coatings13060996
3. Techniques and Characteristics of Traditional Structural Systems in Bagan Archaeological Site Monuments E. Macchioni et al. https://doi.org/10.1080/15583058.2026.2699408
4. Machine Learning for the Built Heritage Archaeological Study A. Mesanza-Moraza et al. https://doi.org/10.1145/3422993
5. AI and Deep Learning for Image-Based Segmentation of Ancient Masonry: A Digital Methodology for Mensiochronology of Roman Brick L. Fornaciari https://doi.org/10.3390/heritage8070241