Twinning for Optimized Decision Intelligence in Data-Intensive Environments

Informazioni relative al progetto

TwinODIS

ID dell’accordo di sovvenzione: 101160009

DOI

10.3030/101160009

Data della firma CE 28 Marzo 2024

Data di avvio 1 Ottobre 2024

Data di completamento 30 Settembre 2027

Finanziato da

• Widening participation and spreading excellence

Costo totale

Nessun dato

Contributo UE

€ 1 488 125,00

Coordinato da

IDRYMA TECHNOLOGIAS KAI EREVNAS
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

Data Management Plan (2)

Data management plan (update)

This deliverable is an update of the initial DMP (D1.3)

Data management plan

Details how project data will be collected, stored, & shared in compliance with EU regulations and best practices

Documents, reports (4)

Explainable-fair-ethical Decision Intelligence Systems (DIS) with hybrid AI-OR optimization models

The deliverable outlines the mechanisms for the creation of explainable, fair, and ethical DIS and analyzes the details of TwinODIS hybrid AI-OR optimization models

Dissemination & communication plan

Outlines actions for disseminating and communicating (D&C) project outcomes to various stakeholders

Capacity building needs of Host institution

The deliverable outlines the capacity building needs of FORTH-ICS research, technical, and administration staff

Exploitation & IPR management plan

Plans for managing IP and maximizing project outcomes

Websites, patent fillings, videos etc. (1)

Establish D&C channels

Creation of D&C channels (website, social media accounts, videos, etc.) for project visibility and updates to key stakeholders

Pubblicazioni

Conference proceedings (4)

Efficient Pattern-Based Analysis of Network Flows in IoT Systems

Autori: C. Tzagkarakis, T. Palpanas and G. Tzagkarakis
Pubblicato in: Eighth International Balkan Conference on Communications and Networking, 2025
Editore: BalkanCom 2025

AI-Driven Probabilistic Models for Robust Risk-Based Household Battery Scheduling

Autori: C. Tzagkarakis, K. Boerjan, E. Karakoyun, R. Dekker, and G. Tzagkarakis
Pubblicato in: 10th International Symposium and 32nd National Conference on Operational Research, 2025
Editore: HELORS
DOI: 10.5281/ZENODO.18788491

Adaptive Electricity Price Forecasting for EV Charging: Integrating Exogenous Forecasts and Rolling Window Training

Autori: G. Roussakis, T. Danique, T. Kers, R. Dekker, and G. Tzagkarakis
Pubblicato in: 10th International Symposium and 32nd National Conference on Operational Research, 2025
Editore: HELORS
DOI: 10.5281/ZENODO.18788613

Adaptive Matrix Profile Indexing for Motif Discovery and Anomaly Detection in Irregular Multivariate Time Series

Autori: G. Tzagkarakis, G. Renouard, and T. Palpanas
Pubblicato in: 10th International Symposium and 32nd National Conference on Operational Research, 2025
Editore: HELORS
DOI: 10.5281/ZENODO.18788719

Other (1)

Optimised Decision Intelligence in Dataintensive Environments

Autori: G. Tzagkarakis, R. Dekker, and T. Palpanas
Pubblicato in: ERCIM News,Special theme: Large-Scale Data Analytics, Numero 140, 2025
Editore: ERCIM