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Summary The Northern Ireland (NI) Prison Service collection was acquired by the Ulster Museum in 2018 and forms the basis of the research project. The historical reach and importance of the collection offers the potential to add fresh insights on multiple contested histories and identities....
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multiple levels, from cells to cognition and apply that understanding to create realistic models and construct technologies that solve the complex issues that face people, industry and society. To accomplish
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interactions of lone makers (patterns of face-to-face 1.2.1 and volume engagement or collaboration [customers, buying, production fieldwork)? Evaluation of saliency of lifestyle (sentiment, sufficiency
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they face. Further consideration should be given to how cultural institutions on the island of Ireland support migrant artists or how they contribute to communities. Applicants should also give thought
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will investigate the paradoxical tension between presence and absence, particularly concerning trace, melancholia, trauma, mourning and grief. Margaret Iversen (2017), writing on the relationship
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learning via dynamic layer sharing for human activity recognition. Proceedings of the 19th ACM Conference on Embedded Networked Sensor Systems, 2021. 15-28. YAACOUB, J.-P. A., NOURA, H. N. & SALMAN, O
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on the human health impact of airborne particulate matter’, Environment international, 74, pp. 136–143. Kirk, N. et al. (2022) ‘An approach to monitoring particulate matter based pollution using low
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., Nugent, C., Lee, S., Semimput: Bridging semantic imputation with deep learning for complex human activity recognition, 2020, Sensors (Switzerland), 20, 10, 2771, 10.3390/s20102771. Ni, Qin, Timothy
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Charles, D., 2018, July. Virtual reality simulation and eye tracking to assess hazard perception of car drivers. In Proceedings of the 32nd International BCS Human Computer Interaction Conference 32 (pp. 1
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, Chris Nugent, Adrian Moore, Jun Liu, and Alfie Beard, A Risk-Based IoT Decision-Making Framework Based on Literature Review with Human Activity Recognition Case Studies, Sensors, vol. 21, no. 13: 4504