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

Informazioni relative al progetto

HYPER-AI

ID dell’accordo di sovvenzione: 101135982

DOI

10.3030/101135982

Data della firma CE 30 Maggio 2024

Data di avvio 1 Aprile 2024

Data di completamento 31 Marzo 2027

Finanziato da

• Digital, Industry and Space

Costo totale

Nessun dato

Contributo UE

€ 4 628 975,00

Coordinato da

ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Greece

CORDIS fornisce collegamenti ai risultati finali pubblici e alle pubblicazioni dei progetti ORIZZONTE.

I link ai risultati e alle pubblicazioni dei progetti del 7° PQ, così come i link ad alcuni tipi di risultati specifici come dataset e software, sono recuperati dinamicamente da .OpenAIRE .

Risultati finali

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

Pubblicazioni

Peer reviewed articles (2)

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

Autori: Miriam Zambudio Martínez, Larissa Haringer Martins da Silveira, Rafael Marin-Perez, Antonio Fernando Skarmeta Gomez
Pubblicato in: AI, Numero 6, 2025, ISSN 2673-2688
Editore: MDPI AG
DOI: 10.3390/AI6020041

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

Autori: Alejandro Arias-Jimenez, Jorge Gallego-Madrid, Jesus Sanchez-Gomez, Rafael Marin-Perez
Pubblicato in: Internet of Things, Numero 31, 2025, ISSN 2542-6605
Editore: Elsevier BV
DOI: 10.1016/J.IOT.2025.101539

Conference proceedings (1)

Reducing IoT Data for Highly Efficient Cloud Storage

Autori: Felix Safaridis, Eleftheria Katsarou, Stathes Hadjiefthymiades
Pubblicato in: Procedia Computer Science, Numero 257, 2025, ISSN 1877-0509
Editore: Elsevier BV
DOI: 10.1016/J.PROCS.2025.03.026