
This document defines the operational and evaluative framework that will guide the implementation and assessment of the HYPER-AI platform across its demonstration activities.The deliverable addresses the overarching challenge of enabling decentralised Artificial Intelligence (AI) capabilities across a distributed edge-to-cloud continuum. To that end, it presents a structured set of use cases—spanning the domains of Industry 4.0, Green Energy, Mobility, Farming & Agriculture, and Healthcare—which serve to validate the technical innovations of the project in real-world scenarios. The use cases have been defined using a methodology adapted from the IEC 62559-2 standard, tailored to accommodate AI, edge computing, and distributed systems, ensuring scalability and technology neutrality.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
