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CORDIS - EU research results
CORDIS

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

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Deliverables

HYPER-AI Specifications and Architecture (opens in new window)

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

Project Management Manual (opens in new window)

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 (opens in new window)

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

Use Cases Definition and Evaluation Plan (opens in new window)

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

Semantic models and application modelling (opens in new window)

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

Legal and Ethical issues and Guidelines (opens in new window)

Plan for legal and ethical aspects management

Dissemination, Communication and Exploitation plan (opens in new window)

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 (opens in new window)

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

Risk registry and quality management plan (opens in new window)

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

Data management plan (opens in new window)

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

Publications

Development and Comparison of Artificial Neural Networks and Gradient Boosting Regressors for Predicting Topsoil Moisture Using Forecast Data (opens in new window)

Author(s): Miriam Zambudio Martínez, Larissa Haringer Martins da Silveira, Rafael Marin-Perez, Antonio Fernando Skarmeta Gomez
Published in: AI, Issue 6, 2025, ISSN 2673-2688
Publisher: MDPI AG
DOI: 10.3390/AI6020041

Lightweight authenticated key exchange for low-power IoT networks using EDHOC (opens in new window)

Author(s): Alejandro Arias-Jimenez, Jorge Gallego-Madrid, Jesus Sanchez-Gomez, Rafael Marin-Perez
Published in: Internet of Things, Issue 31, 2025, ISSN 2542-6605
Publisher: Elsevier BV
DOI: 10.1016/J.IOT.2025.101539

Reducing IoT Data for Highly Efficient Cloud Storage (opens in new window)

Author(s): Felix Safaridis, Eleftheria Katsarou, Stathes Hadjiefthymiades
Published in: Procedia Computer Science, Issue 257, 2025, ISSN 1877-0509
Publisher: Elsevier BV
DOI: 10.1016/J.PROCS.2025.03.026

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