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possible, establish available QoS performance, to map what medical applications are feasible for remote use across the geography. Methodology is necessarily mixed. There will be a significant survey
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-problems concerning: activity capture (incorporating computer vision and sensor information to map and identify changes in the environment); activity representation (modelling of the activity and environment
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stakeholders. 2. Propose and evaluate a methodology to map out multimodal sensor data into higher-order constructs to enable for measurement of relevant learning qualities of skills and progression
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companies like Google). The use of deep learning and other AI techniques to make art raises all sorts of interesting ethical questions: who is the real author of the work? How should the art or creativity in
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to discover software defects in software products. However, ultra-large-scale systems, such as, Google, can consist of more than two billion lines of code, so exhaustively reviewing and testing every single
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assessment? What are the technical challenges that need to be overcome? How do learning theories, teamwork theory and learning design patterns map to the orchestration of such analytics tools? I would be
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Conversational Tactile Map for Blind People. In SIGACCESS2019, pages 682–684, 2019. E. Fast et al.˙ Iris: A Conversational Agent for Complex Tasks. In CHI2018, pages 1–12. ACM, 2018. Y. Yang, K. Marriott, M
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linked pages are in Chinese. You may wish to utilise the 'Translate this page' function within Google Chrome if you require an English translation. This scholarship is also available to students