Machine learning (ML) is rapidly being adopted by archaeologists interested in analyzing a
range of geospatial, material cultural, textual, natural, and artistic data. The algorithms are …

Fire is a recurring event that usually causes a lot of social, environmental, ecological, and
economic damage in different environments. Therefore, machine vision-based fire detection …

Creating a quantitative overview over the early Iron Age heritage of the Eurasian steppes is
a difficult task due to the vastness of the ecological zone and the often problematic access …

Bone surface modifications are foundational to the correct identification of hominin butchery
traces in the archaeological record. Until present, no analytical technique existed that could …

The rapid and accurate taxonomic identification of fossils is of great significance in
paleontology, biostratigraphy, and other fields. However, taxonomic identification is often …

Abstract Lithic Use-Wear Analysis (LUWA) using microscopic images is an underexplored
vision-for-science research area. It seeks to distinguish the worked material which is critical …

Accurate identification of bone surface modifications (BSM) is crucial for the taphonomic
understanding of archaeological and paleontological sites. Critical interpretations of when …

The identification of anthropogenically-modified carnivoran bones in archaeological sites is
rare in Pleistocene contexts, especially in the most ancient periods. Neanderthal groups …

Featured Application Cut mark identification and analysis is a fundamental component for
archaeological investigation. Cut mark analysis, however, has been the root of great …

The reconstruction of perimortem and postmortem events is of critical importance to criminal
investigations. In many cases, the information required for these reconstructions can be …