Smart ICT Framework for the intelligent management of different modern energy systems
Conference: 2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe), At Genoa, Italy
10.1109/EEEIC.2019.8783709, 2019/06/13
Earth Observation Data Mining: A use case for Forest Monitoring
Paper in the IEEE Geoscience and Remote Sensing Society (IGARSS) 2019 Conference
A multipurpose ICT platform for supporting energy transition: first results in flexibility profiling
Conference: 2019 1st International Conference on Energy Transition in the Mediterranean Area (SyNERGY MED)
2019/05/28
Data Science Workflows for the CANDELA Project
Publication in Conference proceedings/Workshop “Big Data from Space” (BiDS’19), Munich, Germany, 19-21 February 2019. ISBN 978-92-76-00034-1 ISSN 1831-9424 doi: 10.2760/848593
Artificial Intelligence Data Science Methodology for Earth Observation
Chapter in Book "Advanced Analytics and Artificial Intelligence Applications", 978-1-78984-639-3, by IntechOpen
Next Generation Platform-as-a-Service (NGPaaS) From DevOps to Dev-for-Operations
NGPaaS White Paper published on Atos Global Blog
ARIES: Evaluation of a reliable and privacy-preserving European identity management framework
In book "Future Generation Computer Systems", Volume 102, 2020, Pages 409-425, ISSN 0167-739X.
Strategic Research, Innovation and Deployment Agenda for an AI PPP
This document details the strategy, the research needs, the critical importance of innovation in Artificial Intelligence and recommendations for future investments in Europe.
What is edge computing?
Edge computing locates computing and storage resources at the edge of the network, with the intention of getting data and analytics to the right place, at the right time. It decentralises data processing and avoids non-essential data transmission.
Fog-to-Cloud Computing for Farming: Low-Cost Technologies, Data Exchange, and Animal Welfare
Coordinated fog (edge) and cloud computing systems are expected to expedite the evolution of smart farming toward openness and data sharing while making agriculture economically sustainable for smaller farms.
Engineering a QoS Provider Mechanism for Edge Computing with Deep Reinforcement Learning
With the development of new system solutions that integrate traditional cloud computing with the edge/fog computing paradigm, dynamic optimization of service execution has become a challenge due to the edge computing resources being more distributed and dynamic.
ARIES project
Chapter 11 in book “Challenges in Cybersecurity and Privacy – the European Research Landscape”, ISBN: 978-87-7022-088-0
Multi-cloud provisioning of business processes
The Cloud offers enhanced flexibility in the management of resources while it promises the reduction of its cost as well as its infinite scalability. In this way, due to these advantages, there is a recent move towards migrating business processes (BPs) in the Cloud.
LEPS – Leveraging eID in the Private Sector
Chapter in book “Challenges in Cybersecurity and Privacy - the European Research Landscape” by River Publishers.
ISBN: 9788770220880
doi: https://doi.org/10.13052/rp-9788770220873
https://www.riverpublishers.com/research_details.php?book_id=711