Multi-Modal Deep Dictionary Learning Framework for Managing Smart City Assets

Summary

This project provides a suite of new digital asset management tools for city councils to improve and track city assets by utilising sensing, recognising, tracking and auditing of city assets. The project builds on new multimodal deep learning and dictionary learning techniques. The new framework identifies and recognises different conditions of city assets to audit and track them in real time to make informed decisions. The outcomes of this project help city councils, governments and navigation services for real-time asset monitoring.

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