Understanding the temporal resolution of archaeological deposits is a critical issue for
drawing behavioural inferences. In the case of TD10. 2 (Gran Dolina, Sierra de Atapuerca) …

" This book provides a framework for thinking about foundational philosophical questions
surrounding machine learning as an approach to artificial intelligence. Specifically, it links …

The production of crops in greenhouses will ensure the demand for food for the world's
population in the coming decades. Precision agriculture is an important tool for this purpose …

Artificial intelligence and machine learning applications in archaeology have increased
significantly in recent years, and these now span all subfields, geographical regions, and …

Machine learning (ML), being now widely accessible to the research community at large,
has fostered a proliferation of new and striking applications of these emergent mathematical …

The primary emphasis of this study is placed on the “déjetés” flakes within the context of the
Zagros Mousterian industry. The objective is to explore how various knapping gestures and …

Modern archaeological methods increasingly utilize 3D virtual representations of objects,
computationally intensive analyses, high resolution scanning, large datasets, and machine …

Predicting original flake mass is a major goal of lithic analysis. Predicting original flake mass
allows for researchers to make estimations of remaining mass, lost mass, and other features …

Motivated by the question of understanding the roots of tool making by anatomically modern
humans and coexisting Neanderthals in the Paleolithic, a number of shape classification …

The production of crops in greenhouses will ensure the demand for food for the world's
population in the coming decades. Precision agriculture is an important tool for this purpose …