Deliverables
An alpha version of the platform delivered for early assessment accompanied with the updated functional and nonfunctional requirements system architecture the bundles design and the APIs The initial interface includes the basic UIUX for the users of the platform
XMANAI AI Bundles - First ReleaseThis deliverable will provide the first release of the tools to be developed in WP2 following the prioritisation of the user stories based on the MVP of WP1
XMANAI Asset Management Bundles - First ReleaseThis deliverable will provide the first release of the tools to be developed in WP2 following the prioritisation of the user stories based on the MVP of WP1
System Architecture, Bundles Placement Plan and APIs DesignThe first version of the system architecture the bundles design the APIs
XMANAI Asset Management Bundles - Second ReleaseThis deliverable will provide the second and final release of the tools to be developed in WP2
XMANAI AI Bundles - Second ReleaseThis deliverable will provide the second and final release of the tools to be developed in WP2
D84 will report on the WP8 activities performed during the 2nd period and will provide an updated plan for all dissemination standardisation and communication activities that will be scheduled for the 3rd reporting period M31M42
1st Dissemination and Communication and Plan for next periodD83 will report on all the WP8 activities performed during the 1st reporting period and will provide an updated plan for all dissemination and communication activities that will be scheduled for the 2nd reporting period M19M30
Draft Catalogue of XMANAI AI and Graph Machine Learning ModelsThis deliverable will provide the list of baseline models that are generally appropriate for the manufacturing domain and for the different pilot scenarios to be supported by XMANAI identifying their main parameters and structural elements as well as their inputs outputs and usage scenarios
AI Bundles Methods and System DesignsThis deliverable will provide the methods and the designs to be used for the development of the bundles of WP3 alongside with low fidelity functional mockups that will be used for a first round of evaluation
State of the Art Review in XMANAI Research DomainsD11 will include a thorough analysis of the state of the art of the research domains to be touched by XMANAI delivering a list of concepts methods and tools that will be further considered by the project for the implementation of both the XMANAI methodology the platform and the algorithms and models to be constructed
Updated Requirements and AI/Graph Analytics focused MVPThis deliverable will update the requirements and will provide an MVP version that will focus on the AI and Graph Analytics parts of the platform following the initial work on those that will be performed in WP3 and WP4
Final XMANAI MVPFinal version of the methodology and a fullyfledged MVP describing the overall operations of the XMANAI platform which will drive the implementation work of the next WPs
Asset Management Bundles Methods and System DesignsThis deliverable will provide the methods and the designs to be used for the development of the bundles of WP2 alongside with low fidelity functional mockups that will be used for a first round of evaluation
XMANAI Concept Detailing, Initial Requirements, Usage Scenarios and Draft MVPThis deliverable will coin the detailed XMANAI concept and will provide the initial requirements of the platform the early identification of data sources to be used and an initial set of usage scenarios driving a high level MVP that will describe core backbone data management and analysis operations to be designed in WP2 and WP3
Project Evaluation Plan and First Round of Demonstrators Implementation PlanDocumentation of the evaluation framework and validation methodology defining the various practices for recording feedback from the demonstration activities and including a set of testcases to be executed by the demonstrator partners
Direct outcome of T92 documenting the data management handling plan and the ethics report and safeguarding measures It will constitute a living document
This deliverable is related to the provision of the Website of the project and will set up all needed Web 20 and social channels that will be used during the project for communication
Publications
Author(s):
Reji, Sangeetha; Hetterich, Jonas; Pitsios, Stamatis; Gkolemi, Vasilis; Perez-Castanos, Sergi; Pertselakis, Minas
Published in:
29th ICE IEEE/ITMC Conference, 2023
Publisher:
IEEE
DOI:
10.5281/zenodo.7991121
Author(s):
Biliri Evmorfia; Lampathaki Fenareti; Mandilaras George; Prieto-Roig Ausias; Calabresi Mattia; Branco Rui; Gkolemis Vasileios
Published in:
29th ICE IEEE/ITMC Conference, 2023
Publisher:
IEEE
DOI:
10.5281/zenodo.8010284
Author(s):
Branco, Rui; Agostinho, Carlos; Gusmeroli, Sergio; Lavasa, Eleni; Dikopoulou, Zoumpolia; Monzo, David; Lampathaki, Fenareti
Published in:
29th ICE IEEE/ITMC Conference, 2023
Publisher:
IEEE
DOI:
10.5281/zenodo.7987108
Author(s):
Gkolemis, Vasilis; Dalamagas, Theodore; Diou, Christos
Published in:
Asian Conference in Machine Learning (ACML), 2023
Publisher:
ACML
DOI:
10.5281/zenodo.7220114
Author(s):
Fenareti Lampathaki, Carlos Agostinho, Yury Glikman, Michele Sesana
Published in:
27th ICE/IEEE International Technology Management Conference, Cardiff UK, June 21-23 2021, 2021
Publisher:
27th ICE/IEEE International Technology Management Conference
DOI:
10.1109/ice/itmc52061.2021.9570236
Author(s):
Dikopoulou, Zoumpolia; Lavasa, Eleni; Perez-Castanos, Sergi; Monzo, David; Moustakidis, Serafeim
Published in:
29th ICE IEEE/ITMC Conference, 2023
Publisher:
IEEE
DOI:
10.5281/zenodo.7997624
Author(s):
Dimitris Miltiadou; Konstantinos Perakis; Michele Sesana; Mattia Calabresi; Fenareti Lampathaki; Evmorfia Biliri
Published in:
29th ICE IEEE/ITMC Conference, 2023
Publisher:
IEEE
DOI:
10.5281/zenodo.8010282
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