{"id":2288,"date":"2020-01-01T18:24:35","date_gmt":"2020-01-01T17:24:35","guid":{"rendered":"http:\/\/www.ispc.cnr.it\/?p=2288"},"modified":"2025-03-17T09:48:04","modified_gmt":"2025-03-17T08:48:04","slug":"w-a-l-l","status":"publish","type":"post","link":"https:\/\/www.ispc.cnr.it\/en\/2020\/01\/01\/w-a-l-l\/","title":{"rendered":"W.A.L.(L.)"},"content":{"rendered":"
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Wall-facing Automatic images identification Laboratory<\/h1>\n

A quantitative analyses method for the study of ancient architecture<\/h2>\n

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Greece<\/a><\/span><\/div>
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Acronym: <\/strong>W.A.L.(L)<\/p>\n

Description<\/strong><\/h2>\n
The W.A.L.(L) project aims to develop quantitative analysis methods and applications of Machine Learning to ancient architecture. Case study for the experiment and the development of a methodology are some Cretan wall structures mainly from the Iron Age (10th - 8th century BC).<\/div>\n
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It is an international project co-directed by the CNR ISPC and the Universit\u00e9 Catholique de Louvain. The research involved numerous partners active in excavation and research missions at archaeological sites in Crete, such as the University of Catania, the Anavlochos Project (\u00c9cole fran\u00e7aise d'Ath\u00e8nes) and the Ghent University, as well as the CNR IIT. In particular, the wall samples on which the project focused fall on the sites of Phaistos, Haghia Triada, Sissi and Anavlochos.<\/div>\n
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The method developed by the W.A.L.(L) project, which can be replicated for architectures of other contexts and chronologies, contemplates several steps:<\/div>\n