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Ghorbani, S., Wloka, C., Etemad, A., Brubaker, M. A., & Troje, N. F. (2020). Probabilistic character motion synthesis using a hierarchical deep latent variable model. Computer Graphics Forum, 39(8
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://dx.doi.org/10.11591/telkomnika.v12i6.4582 Livingstone T. (2024) Hybrid Images and the Vanishing Point of Digital Visual Effects. Edinburgh University Press. Patrucco, A. S., Marzi, G., & Trabucchi, D. (2023
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competitive manufacturing pathways. The Project: Metal additive manufacturing (or 3D printing) has been rapidly adopted by industry. The metal additive process is unique as it allows for the manufacture
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/software user interaction data for real-world validation and post-market surveillance ECG data classification for improved diagnostics using explainable deep learning The four-year programme will enable you
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Scots is a Protestant/Unionist/Loyalist language. These stereotypes have served to alienate swathes of the community from various aspects of their shared heritage, a process which has served to diminish
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process is a critical bottleneck, leading to inconsistent quality, costly rework, and the risk of shipping flawed products. This project seeks to move beyond these limitations by developing cutting-edge AI
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sector. Working with the NWCAM2 companies this project will address, where appropriate, the investigation of the application of new materials and processes, regulatory pathways, material qualification, and
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in Food Science & Technology, 163, 105154. Verna, E., Genta, G. and Galetto, M. (2025) Enhancing Food Quality by Digital Traceability in Food Processing Industry. Engineering Reviews, 17(1), 359-383
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Development of an docetaxel-loaded implantable device for the localised treatment of prostate cancer
to manufacture the DTX-loaded ChemoSeed. A pre-formulation screening study, to identify the optimum hot melt extrusion (HME) processing conditions needed to achieve any therapeutic effect will be performed. A