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.
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.
Technical Innovation, solving the Data Spaces and Marketplaces Interoperability Problems for the Global Data-Driven Economy
River Publishers
i3-MARKET Series - Part III: The i3-MARKET FOSS Handbook
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.
FAME: Federated Decentralized Trusted Data Marketplace for Embedded Finance
IEEE
Due to its multivariate and multipurpose use and reuse, data’s worth is dramatically increasing, leading to an era characterized by the generation of data marketplaces towards accessing, selling, sharing, and trading data and data assets.
3D human big data exchange between the health and garment sectors. Lessons learned in the BodyPass project
BodyPass
3D personal data is a type of data that contains useful information for product design, online sale services, medical research and patient follow-up.
Parallelization and Deployment of Big Data Algorithms: The TOREADOR Approach
32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA). DOI: 10.1109/WAINA.2018.00120
Building the DataBench Workflow and Architecture
International Symposium on Benchmarking, Measuring and Optimization
In the era of Big Data and AI, it is challenging to know all technical and business advantages of the emerging technologies.