Project deliverable Open Access
Svetlana Tcvetkova; Marco Di Renzo; Georgia Ntouni; Dimitrios Kritharidis; Konstantinos Chartsias; Konstantinos Ntontin; Fotis Lazarakis; Antonis Alexandridis; Jukka Lamsa; Moamen Ibrahim; Edwin Yaqub; Lourdes Luque; Rafael Cantó; Joonas Kokkoniemi; Alexandros-Apostolos A. Boulogeorgos; Giorgos Stratidakis; Evangelos Papasotiriou; Angeliki Alexiou
This deliverable includes the work conducted within Task 1.1 “Use cases definition and system requirements specification”. The main objective of this task is to define the use cases and a set of requirements that will be the basis for all further work. Each use case contains scenarios in order to organize the technical work efficiently and focus on ARIADNE challenges and innovations.
Thus, Deliverable 1.1 presents an overview of the ARIADNE system concept, a detailed description of each use case and corresponding scenarios, the resulting analysis on the definition of the main Key Performance Indicators (KPI) that each use case and the ARIADNE system target to satisfy and, finally, a description of how the machine learning techniques will be applied in the framework of ARIADNE.
D1.1 ARIADNE use case definition and system requirements.pdf