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 …
remote sensing, a non-destructive tool, is increasingly popular for experts around the world …
Archaeophenomics of ancient domestic plants and animals using geometric morphometrics: a review
Geometric morphometrics revolutionized domestication studies through the precise quanti
cation of the phenotype of ancient plant and animal remains. Geometric morphometrics …
cation of the phenotype of ancient plant and animal remains. Geometric morphometrics …
A human–AI collaboration workflow for archaeological sites detection
This paper illustrates the results obtained by using pre-trained semantic segmentation deep
learning models for the detection of archaeological sites within the Mesopotamian …
learning models for the detection of archaeological sites within the Mesopotamian …
Large Language Models and Generative AI, Oh My!: Archaeology in the Time of ChatGPT, Midjourney, and Beyond
PJ Cobb - Advances in Archaeological Practice, 2023 - cambridge.org
We have all read the headlines heralding, often hyperbolically, the latest advances in text-
and image-based Artificial Intelligence (AI). What is perhaps most unique about these …
and image-based Artificial Intelligence (AI). What is perhaps most unique about these …
Comparison of Machine Learning Pixel-Based Classifiers for Detecting Archaeological Ceramics
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 …
utilised to support archaeological research. Over the last decade, the increased use of …
Deep learning for archaeological object detection on LiDAR: New evaluation measures and insights
Machine Learning-based workflows are being progressively used for the automatic
detection of archaeological objects (intended as below-surface sites) in remote sensing …
detection of archaeological objects (intended as below-surface sites) in remote sensing …
Scientific inference with interpretable machine learning: Analyzing models to learn about real-world phenomena
Interpretable machine learning (IML) is concerned with the behavior and the properties of
machine learning models. Scientists, however, are only interested in models as a gateway to …
machine learning models. Scientists, however, are only interested in models as a gateway to …
Egyptian hieroglyphs segmentation with convolutional neural networks
The objective of this work is to show the application of a Deep Learning algorithm able to
operate the segmentation of ancient Egyptian hieroglyphs present in an image, with the …
operate the segmentation of ancient Egyptian hieroglyphs present in an image, with the …
Semantic segmentation (U-Net) of archaeological features in airborne laser scanning—example of the białowieża forest
Airborne Laser Scanning (ALS) technology can be used to identify features of terrain relief in
forested areas, possibly leading to the discovery of previously unknown archaeological …
forested areas, possibly leading to the discovery of previously unknown archaeological …
Supervised machine learning algorithms to predict provenance of archaeological pottery fragments
Code and data sharing are crucial practices to advance toward sustainable archaeology.
This article explores the performance of supervised machine learning classification methods …
This article explores the performance of supervised machine learning classification methods …