Hyper-Distributed Artificial Intelligence Platform for Network Resources Automation and Management Towards More Efficient Data Processing Applications

Informations projet

HYPER-AI

N° de convention de subvention: 101135982

DOI

10.3030/101135982

Date de signature de la CE 30 Mai 2024

Date de début 1 Avril 2024

Date de fin 31 Mars 2027

Financé au titre de

• Digital, Industry and Space

Coût total

Aucune donnée

Contribution de l’UE

€ 4 628 975,00

Coordonné par

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Greece

CORDIS fournit des liens vers les livrables publics et les publications des projets HORIZON.

Les liens vers les livrables et les publications des projets du 7e PC, ainsi que les liens vers certains types de résultats spécifiques tels que les jeux de données et les logiciels, sont récupérés dynamiquement sur OpenAIRE .

Livrables

Documents, reports (9)

HYPER-AI Specifications and Architecture

System specifications for the HYPER-AI components and technical architecture of the proposed solution

Project Management Manual

Detailing the overall project management framework (financing and implementation rules, disputes resolution conditions, etc.) to be followed during the entire duration of the project, leveraging T1.1

SotA Review and Requirement Analysis

Present main results of SotA review and overall user and system requirement analysis

Use Cases Definition and Evaluation Plan

Definition and evaluation plan of HYPER-AI demonstration phase with a detailed description of processes, baselines, and KPIs

Semantic models and application modelling

Report the activities done for HYPER-AI semantic models and application modeling.

Legal and Ethical issues and Guidelines

Plan for legal and ethical aspects management

Dissemination, Communication and Exploitation plan

The report will be the first of two iterations, providing all the necessary details on activities to be performed, visà-vis the targeted stakeholders, communications and dissemination of results based on measurable indicators andmonitoring.

Open Connectors

A public report of the open connectors that will be built for the supported OS and hardware platforms.

Risk registry and quality management plan

Generating the risks and quality assurance framework, leveraging T1.3 developments

Data Management Plan (1)

Data management plan

Initial version of the DMP, establishing the data FAIR-means management

Publications

Peer reviewed articles (2)

Development and Comparison of Artificial Neural Networks and Gradient Boosting Regressors for Predicting Topsoil Moisture Using Forecast Data

Auteurs: Miriam Zambudio Martínez, Larissa Haringer Martins da Silveira, Rafael Marin-Perez, Antonio Fernando Skarmeta Gomez
Publié dans: AI, Numéro 6, 2025, ISSN 2673-2688
Éditeur: MDPI AG
DOI: 10.3390/AI6020041

Lightweight authenticated key exchange for low-power IoT networks using EDHOC

Auteurs: Alejandro Arias-Jimenez, Jorge Gallego-Madrid, Jesus Sanchez-Gomez, Rafael Marin-Perez
Publié dans: Internet of Things, Numéro 31, 2025, ISSN 2542-6605
Éditeur: Elsevier BV
DOI: 10.1016/J.IOT.2025.101539

Conference proceedings (1)

Reducing IoT Data for Highly Efficient Cloud Storage

Auteurs: Felix Safaridis, Eleftheria Katsarou, Stathes Hadjiefthymiades
Publié dans: Procedia Computer Science, Numéro 257, 2025, ISSN 1877-0509
Éditeur: Elsevier BV
DOI: 10.1016/J.PROCS.2025.03.026