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.
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.
Dynamic Threat Intelligence for Improvement of Resilience of Critical Infrastructure During Pandemics
19th Conference on Computer Science and Intelligence Systems (FedCSIS). Belgrade, Serbia
The COVID-19 pandemic is an example of a temporary situation when critical infrastructure (CI) operators had to operate with continuously changing conditions. The role of cyber infrastructure during pandemics, for example for the remote work or access to critical systems, has also changed.
Detecting Compromised Structural Integrity - An AI tool for Critical Infrastructure Operators working towards Climate Resilience
Project SUNRISE's blog
"Critical infrastructure operators across Europe must prepare their facilities, equipment, and personnel to operate under more strenuous conditions in a warming climate.
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.
UAV AI Remote Inspection. Unleashing the power of V-LLM?
Project SUNRISE's blog
It is widely known that we are living through a historic moment in the field of artificial intelligence (AI), capturing the attention of the entire world with spectacular results across multiple application fields, especially in text and image generation.
Flexible robots for intelligent automation of precision agriculture operations
CORDIS - EU Research Results
Artificial intelligence helps coordinate precision agriculture tasks
How does resilience relate to risk
Project SUNRISE's blog
"Risk and resilience are interconnected concepts. In fact, one of our goals in SUNRISE is to integrate resilience metrics with risk metrics.
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.
Collaborative Ranking of Results in Pilot Projects for the EU Cybersecurity Competence Community
IEEE/ 2023 JNIC Cybersecurity Conference (JNIC)
Cybersecurity ecosystem in EU is a hot topic, as it relates to the recent establishment of the EU Cybersecurity Competence Centre (ECCC), the Network of National Coordination Centres (NCCs) and the Cybersecurity Community (CC).
TERME: a cyber-physical resilience toolset for risk assessment
IEEE/ 2023 JNIC Cybersecurity Conference (JNIC)
With the increased digitalization and adoption of cost-effective off-the-shelf components and cyber connectivity, Critical Infrastructures (CI) operators have benefited in many ways, but the attack surface has also become larger.
Cybersecurity in the financial sector: knowing your enemy
The financial sector is one of the most critical and sensitive sectors. Cybercriminals look to exploit it for large amounts of money and financial information.