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Motivation: In today’s increasingly digitalised world, software defects are enormously expensive. In 2018, the Consortium for IT Software Quality reported that software defects cost the global economy $2.84 trillion dollars and affected more than 4 billion people. The average annual cost of...
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This project aims to identify novel methods for inferring where and when photographs and videos were recorded from features of the material itself. A key requirement of image processing in a Law Enforcement (LE) context is to augment classification of material by identifying its spatio-temporal...
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This project seeks to explore the use of 3D printing to provide better access to graphical information to those who are blind or have low vision. Most graphical information is inaccessible to the blind and low vision community. This could be any of the 1000's of graphics we see on a daily...
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This project will investigate and develop the ways in which AI algorithms and practices can be made transparent and explainable for use in law enforcement and judicial applications The Faculty of Information Technology has a mission to advance social good through its research. Key to this...
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through the education faculty peer mentoring program. I do not take for granted the opportunities that I have been able to pursue thanks to the increased financial stability my scholarship has provided. Am
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program for first-year students. Number offered 31 per year Selection criteria Based on academic achievement To retain this scholarship: You must maintain a distinction average (70% or above) each semester
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with one of the host sites in the SKILLED clinical trials internships program. Number offered Varies based on available funding. Selection criteria Based on academic achievement, CV and cover letter
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well as giving back to the community through the education faculty peer mentoring program. I do not take for granted the opportunities that I have been able to pursue thanks to the increased financial stability my
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This project concerns the investigation of suitable socio-technical data infrastructure for law-enforcement research and development. International collaboration between law-enforcement agencies, research institutions, and commercial organisations is vital to address the large scale technical...
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Project description: Nowadays, data-driven machine learning algorithms are well suited to solve real-world problems that require high-level prediction accuracy. However, it seems as if nothing beats the simple equation that more training data = better performance. Learning—in particular, the...