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.
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.
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.
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.
ZONESEC: built-in cyber-security for wide area surveillance system
ZONESEC: built-in cyber-security for wide area surveillance system. Aljosa Pasic, Jose-Ramon Martinez-Salio, Susana Gonzalez Zarzosa, Rodrigo Diaz. Reggio Calabria, Italy, August 29 – September 1, 2017 (ARES 2017)
ZONESEC: built-in cyber-security for wide area surveillance system
Paper named “ZONESEC: built-in cyber-security for wide area surveillance system” has been accepted for publication in S-CI 2017 Workshop, which will take place in conjunction with ARES 2017 to be held 29 august-1 September in Reggio Calabria, Italy.