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This research was commissioned by the Department for Communities and Local Government to better understand the potential for visualisation solutions…
How to prepare and analyse the data you collected for your evaluation.
A guide to some different ways of visualising data and their respective strengths and weaknesses.
Guidance for practitioners involved in the recovery of evidential fingermarks.
A lesson in exceeding the original concept: The journey of Createc's LiDAR autonomous crowd monitoring solution, purchased by Network Rail
Aival Evaluate reports the performance, fairness, robustness and explainability of AI products under consideration on a user’s data, enabling comparison along the same baseline.
This section helps you to understand users and their needs and begin to diagnose the policy problems and challenges that you need to fix.
List of all the tools and techniques in the toolkit.
Research and scientific rationale behind the processes within the Fingermark Visualisation Manual Second Edition (2022).
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