Automation in the practice of archaeological survey: integrating machine learning, computer vision, people, and practice

Killoran, Lucy (2026) Automation in the practice of archaeological survey: integrating machine learning, computer vision, people, and practice. PhD thesis, University of Glasgow.

Due to Embargo and/or Third Party Copyright restrictions, this thesis is not available in this service.

Abstract

Abstract not currently available.

Item Type: Thesis (PhD)
Qualification Level: Doctoral
Additional Information: Supported by an Arts and Humanities Research Council Collaborative Doctoral Partnership studentship award held by the University of Glasgow and Historic Environment Scotland. Grant reference: AH/V004166/1.
Subjects: C Auxiliary Sciences of History > CC Archaeology
Q Science > QA Mathematics > QA76 Computer software
Colleges/Schools: College of Arts & Humanities > School of Humanities > Archaeology
College of Science and Engineering > School of Computing Science
Funder's Name: Arts and Humanities Research Council (AHRC)
Supervisor's Name: Williamson, Dr. John, Cowley, Mr. David, Beale, Dr. Gareth and Banaszek, Dr. Łukasz
Date of Award: 2026
Embargo Date: 8 June 2027
Depositing User: Theses Team
Unique ID: glathesis:2026-86065
Copyright: Copyright of this thesis is held by the author.
Date Deposited: 24 Jun 2026 10:51
Last Modified: 24 Jun 2026 10:51
Thesis DOI: 10.5525/gla.thesis.86065
URI: https://theses.gla.ac.uk/id/eprint/86065

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