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CORDIS - EU research results
CORDIS

Energy-efficient AI-ready Data Spaces

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

Stakeholder Engagement and Dissemination Plan (opens in new window)

Document registering the key activities per target group, pertaining to maximizing the dissemination of GREEN.DAT.AI outcomes during and after the project’s lifecycle.

Pilots' Scoping Document (opens in new window)

Report outlining the demonstrators’ implementation plans, milestones. The report will identify key stakeholders for the testing/validation phase and include the User Acceptance test templates.

Use Case Requirements, KPIs & Reference Architecture (opens in new window)

Report consolidating results of work carries out in WP1 tasks T1.1 - T1.4. More specifically, it sets out the business & technical requirements, specifies the overall solution architecture based on the outputs of the activities in T1.2 and T1.3, and lays out the testing framework for all the pilots.

First Version of Energy-Efficient Large-Scale Data Analytics Services (opens in new window)

D3.1 presents the first iteration of the work employed towards the design and development of nine different services that aspire to provide energy-efficient large-scale data analytics. The software library and report will cover AI-enabled data enrichment, Incentive mechanisms for Data Sharing, Synthetic Data Generation, Large-scale learning at the Edge/Fog, Federated & Auto ML at the edge/fog, Explainable AI, Feature Learning with Privacy Preservation, Federated & Automatic Transfer Learning, Adaptive FL for Digital Twin Applications, Automated IoT event-based change detection/ forecasting.

Data Management infrastructure and tools to support Dynamic Ecosystems (opens in new window)

D2.1 showcases the design and development of the BDA infrastructure including the Federated Data Sovereignty services and the plan for data pipelines management and continuous integration. It also delivers the visualisation tools needed for the pilots, the workflow management engine required to schedule distributed analytics pipelines, and, finally, wrappers that secure computations & sensitive data at the edge/fog/cloud. A report will detail or the platform components, their interfaces, and data pipelines management mechanisms. The deliverable will include the first prototype of the visualisation workbench, interfaces, distributed analytics services, workflow management engine, and the wrappers for Securing Computations and Sensitive Data at the Edge/Fog/Cloud.

Publications

High-resolution spatiotemporal assessment of solar potential from remote sensing data using deep learning (opens in new window)

Author(s): Mitja Žalik, Domen Mongus, Niko Lukač
Published in: Renewable Energy, ISSN 1879-0682
Publisher: Elsevier
DOI: 10.1016/J.RENENE.2023.119868

A Survey on AutoML Methods and Systems for Clustering (opens in new window)

Author(s): Yannis Poulakis, Christos Doulkeridis, Dimosthenis Kyriazis
Published in: ACM Transactions on Knowledge Discovery from Data, ISSN 1556-4681
Publisher: Association for Computing Machinery
DOI: 10.1145/3643564

From Fossil Fuel to Electricity: Studying the Impact of EVs on the Daily Mobility Life of Users (opens in new window)

Author(s): Mirco Nanni, Omid Isfahani Alamdari, Agnese Bonavita, Paolo Cintia
Published in: IEEE Transactions on Intelligent Transportation Systems, ISSN 1558-0016
Publisher: IEEE
DOI: 10.1109/TITS.2023.3

Pythia: Distributed Pattern-based Future Location Prediction of Moving Objects

Author(s): Panagiotis Tampakis, Nikos Pelekis
Published in: ISSN 1613-0073
Publisher: CEUR Workshop Proceedings (CEUR-WS.org)

Interpretable Data Partitioning Through Tree-Based Clustering Methods (opens in new window)

Author(s): Riccardo Guidotti, Cristiano Landi, Andrea Beretta, Daniele Fadda, Mirco Nanni
Published in: ISSN 2193-1801
Publisher: Springer Science and Business Media Deutschland GmbH
DOI: 10.1007/978-3-031-45275-8_33

FAIRness in Dataspaces: The Role of Semantics for Data Management

Author(s): Marco Hauff, Lina Molinas Comet, Paul Moosmann, Christoph Lange, Ioannis Chrysakis, Johannes Theissen-Lipp
Published in: ISSN 1613-0073
Publisher: CEUR Workshop Proceedings (CEUR-WS.org)

A Shape-Based Map Matching Approach for Geographic Transferability of Discriminative Subtrajectories

Author(s): Cristiano Landi, Riccardo Guidotti
Published in: ISSN 1613-0073
Publisher: CEUR Workshop Proceedings (CEUR-WS.org)

Path-based traffic flow prediction

Author(s): Efstratios Karkanis, Nikos Pelekis, Eva Chondrodima, Yannis Theodoridis
Published in: ISSN 1613-0073
Publisher: CEUR Workshop Proceedings (CEUR-WS.org)

GREEN.DAT.AI: Enabling energy-efficient AI services

Author(s): Ioanna Fergadioou
Publisher: Innovation News Network

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