A case study on FAME Marketplace for unlocking customer behavioral insights

FAME project - blog
This blogpost explains how the FAME Marketplace offers pre-built analytical tools for effective customer segmentation, and explore two use cases: improving financial recommendations and developing loyalty programs for parking in Athens.

C4 Model: A Research Guide for Designing Software Architectures

8th International Conference on Software and System Engineering (ICoSSE 2025), Nice, France
Given nowadays increasing complexity of software systems, their architectural design prior to their actual implementation becomes quite complicated.

Intrusion Detection for IoT-based Context and Networks

Book chapter: Holistic IoT Security, Privacy and Safety: Integrated Approaches Protecting A Highly Connected World, by Konstantinos Loupos (ed.), 2025
Chapter 8 of the book Holistic IoT Security, Privacy and Safety: Integrated Approaches Protecting A Highly Connected World, by Konstantinos Loupos (ed.), 2025. ISBN 978-1-63828-506-9. E-ISBN 978-1-63828-507-6.

Decentralized Identity Management

Book chapter: Holistic IoT Security, Privacy and Safety: Integrated Approaches Protecting A Highly Connected World, by Konstantinos Loupos (ed.), 2025
Chapter 5 of the book Holistic IoT Security, Privacy and Safety: Integrated Approaches Protecting A Highly Connected World, by Konstantinos Loupos (ed.), 2025. ISBN 978-1-63828-506-9. E-ISBN 978-1-63828-507-6.

Sources, levels, and determinants of indoor air pollutants in Europe: A systematic review

Science of The Total Environment Volume 964 - Elsevier
Clean air is a requirement for life, and the quality of indoor air is a health determinant since people spend most of their daily time indoors.

Unlocking efficiency with Marketplace Assets: a case study on FAME Marketplace

FAME project - blog
In today’s ever-changing technological landscape, companies are constantly looking for innovative ways to increase efficiency and minimize costs, and even more nowadays with the advent of artificial intelligence and large language models.

Assessing computational fluid dynamics on GPU using portable languages

35th Parallel CFD International Conference
Accelerators are essential for achieving optimal performance and energy efficiency in computing. However, market segmentation often leads to language lock-ins, limiting flexibility across accelerators and increasing development costs.

Preserving data privacy in Machine Learning pipelines with Federated Learning

FAME's project blog
The feature extraction capabilities of Machine Learning (ML) models have led to their wide adoption in a large variety of sectors: from anomaly detection for machinery, to user clustering and behavioral prediction, market trends predictions, or the analysis of text, sound, and image data.

Ensuring a Secure Future: Comprehensive Insights into 6G IoT Security and Privacy

The SecureCyber Cluster Europe is a group of European Union-funded cybersecurity projects that collaborate to address cybersecurity challenges in various domains, including Internet of Things (IoT), smart grids, and more.

Systems and Implemented Technologies for Data-Driven Innovation, addressing Data Spaces and Marketplaces Semantic Interoperability Needs

River Publishers
i3-MARKET Series - Part II: Data Economy, Models, Technologies and Solutions

Concepts and Design Innovations addressing the Digital Transformation of Data Spaces and Marketplaces

River Publishers
i3-MARKET Book Series - Part I: A Vision to the future of Data-Driven Economy

Flexible robots for intelligent automation of precision agriculture operations

CORDIS - EU Research Results
Artificial intelligence helps coordinate precision agriculture tasks

Leveraging Large Language Models for Financial Predictions

FAME project blog
In the world of finance, where every decision can have significant ramifications, the possibility of predicting market movements is invaluable. Traditionally, analysts have relied on a combination of data analysis, market trends, and expert insights to make informed predictions.

Fostering Agricultural Transformation through AI: An Open-Source AI Architecture Exploiting the MLOps Paradigm

MDPI Agronomy Journal
As the global population is expected to reach 10 billion by 2050, the agricultural sector faces the challenge of achieving an increase of 60% in food production without using much more land.

Self-Sovereign Identity: Realising the journey from innovation to market

Atos Digital Security Magazine
Self-Sovereign Identity can be considered as the most significant paradigm shift, surpassing the more established centralised and federated approaches that have shaped identity management in the past decades.