Machine learning techniques for structural health monitoring of heritage buildings: A state-of-the-art review and case studies

M Mishra - Journal of Cultural Heritage, 2021 - Elsevier
This paper performed a systematic review of the various machine learning (ML) techniques
applied to assess the health condition of heritage buildings. More robust predictive models …

A review of artificial intelligence and remote sensing for archaeological research

A Argyrou, A Agapiou - Remote Sensing, 2022 - mdpi.com
The documentation and protection of archaeological and cultural heritage (ACH) using
remote sensing, a non-destructive tool, is increasingly popular for experts around the world …

Large-scale medieval urbanism traced by UAV–lidar in highland Central Asia

MD Frachetti, J Berner, X Liu, ER Henry, F Maksudov… - Nature, 2024 - nature.com
Aerial light detection and ranging (lidar) has emerged as a powerful technology for mapping
urban archaeological landscapes, especially where dense vegetation obscures site …

[HTML][HTML] Testing the representativity of Palaeolithic site distribution: The role of sampling bias in the European Upper and Final Palaeolithic record

B Boemke, A Maier, I Schmidt, W Römer… - Quaternary Science …, 2023 - Elsevier
Archaeological sites are not distributed evenly throughout the landscape. For the
Palaeolithic record, signals derived from the inhomogeneous spatial patterns are used to …

Deep learning to detect built cultural heritage from satellite imagery.-Spatial distribution and size of vernacular houses in Sumba, Indonesia

F Monna, T Rolland, A Denaire, N Navarro… - Journal of Cultural …, 2021 - Elsevier
Abstract In Sumba Island–Indonesia, the implantation of vernacular houses, inside and
outside traditional villages, is considered to be an efficient proxy for the on-going complex …

Comparison of Machine Learning Pixel-Based Classifiers for Detecting Archaeological Ceramics

A Argyrou, A Agapiou, A Papakonstantinou… - Drones, 2023 - mdpi.com
Recent improvements in low-altitude remote sensors and image processing analysis can be
utilised to support archaeological research. Over the last decade, the increased use of …

[PDF][PDF] A review on Deep Learning application for detection of archaeological structures

AH Jamil, F Yakub, A Azizan, SA Roslan… - Journal of Advanced …, 2022 - academia.edu
Over the last few years, archaeologist have started to look at automated object detection for
searching of potential historical sites, using object identification methods that includes …

Prediction and measurement of damage to architectural heritages facades using convolutional neural networks

M Samhouri, L Al-Arabiat, F Al-Atrash - Neural Computing and …, 2022 - Springer
This paper set out an automatic multicategory damage detection technique using
convolutional neural networks (CNN) models based on image classification and features' …

Geographic disparity in machine intelligence approaches for archaeological remote sensing research

DS Davis - Remote Sensing, 2020 - mdpi.com
A vast majority of the archaeological record, globally, is understudied and increasingly
threatened by climate change, economic and political instability, and violent conflict …

[HTML][HTML] Machine learning and image-processing-based method for the detection of archaeological structures in areas with large amounts of vegetation using satellite …

JA Fuentes-Carbajal, JA Carrasco-Ochoa… - Applied Sciences, 2023 - mdpi.com
The detection of archaeological structures in satellite images is beneficial for archaeologists
since it allows quick identification of structures across large areas of land. To date, some …