Speaker
Hussein Mohammed
(Universität Hamburg / The Cluster of Excellence: UWA)
Description
The multidisciplinary nature of manuscript study at the CSMC results in an ever-increasing volume of digital data in various modalities, ranging from raw images of artefacts to automatically generated data from advanced acquisition techniques. The manual analysis of this data is typically time-consuming and susceptible to human error and bias. Therefore, a set of Pattern Analysis Software Tools (PAST) has been developed to automate this process and provide new insights that can help answer various research questions. These software tools have been developed and tested in close collaboration with experts from relevant research fields to ensure their usability and applicability to actual research questions.
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Author
Hussein Mohammed
(Universität Hamburg / The Cluster of Excellence: UWA)
