Digital Twin Framework and Federated Learning for Multi-plant Knowledge Sharing in Decision Support for Electric Steelmaking and Beyond
The processes of electric steelmaking are complex and difficult to control to achieve sustainable production. To strive towards competitiveness and green transformation, steelmakers apply the Electric Arc Furnace (EAF) to circulate scrap into new products.
A case study on FAME Marketplace for unlocking customer behavioral insights
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
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
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.
Unlocking efficiency with Marketplace Assets: a case study on FAME Marketplace
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
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.
Flexible robots for intelligent automation of precision agriculture operations
Artificial intelligence helps coordinate precision agriculture tasks
Leveraging Large Language Models for Financial Predictions
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
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
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.
Analyzing Particularities of Sensor Datasets for Supporting Data Understanding and Preparation
Data scientists spend much time with data cleaning tasks, and this is especially important when dealing with data gathered from sensors, as finding failures is not unusual (there is an abundance of research on anomaly detection in sensor data).
AI for dating stars: a benchmarking study for gyrochronology
In astronomy, age is one of the most difficult stellar properties to measure, and gyrochronology is one of the most promising techniques for the task.
An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.
Big Data challenges in Smart Manufacturing Industry - BDVA
BDVA's Smart Manufacturing Industry group proudly announces the publication of the second version of the Big Data Challenges in Manufacturing Industry (SMI) Whitepaper.
Smart City IoT Services Creation through Large Scale Collaboration
Syncronicity project
IEEE Internet of Things Journal
Atomic Services: sustainable ecosystem of smart city services through pan-European collaboration
Conference Paper for the Global IoT Summit 2019 (GIoTS) in Aarhus, Denmark.
End-to-end security assessment framework for connected vehicles
Conference Paper for the International Symposium on Wireless Personal Multimedia Communications at Lisboa
SMART-FI: Utilizando datos abiertos para ofrecer servicios de movilidad en las ciudades inteligentes
IV Congreso Ciudades Inteligentes Madrid - book
Building the DataBench Workflow and Architecture
In the era of Big Data and AI, it is challenging to know all technical and business advantages of the emerging technologies.
FeLix, the Federated Learning Framework
The Federated Learning is a rapidly growing field that enables the decentralized training of AI models while keeping data on the premises where it is generated.