An Artificial Intelligence-Based Collaboration Approach in Industrial IoT Manufacturing: Key Concepts, Architectural Extensions and Potential Applications
MDPI Sensors
The digitization of manufacturing industry has led to leaner and more efficient production, under the Industry 4.0 concept.
An Approach to Support Automated Deployment of Applications on Heterogeneous Cloud-HPC Infrastructures
22nd International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC)
Complex applications, which include microservices, computationally intensive batch jobs, and sophisticated interaction with the external environment, demand for heterogeneous computational infrastructures that range from cloud to HPC and edge computing.
An approach to train and evaluate cybersecurity skills of participants in cyber ranges based on cyber risk models
There is an urgent need for highly skilled cybersecurity professionals, and at the same time there is an awareness gap and lack of integrated training modules on cybersecurity related aspects on all school levels.
Big Data challenges in Smart Manufacturing Industry - BDVA
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.
ARI's vision of the future of European media and creative industries sectors
The report “NEM Vision 2030 Towards a future media ecosystem” describes the NEM approach about the European media and creative industries sectors for the next decade.
Business Validation in 5G PPP vertical use cases
Expectations are high for 5G, as it promises many benefits and new business opportunities for all stakeholders engaged in the creation and use of future networks and services.
PolicyCLOUD: Analytics as a Service Facilitating Efficient Data-Driven Public Policy Management
SPRINGER - IFIP International Conference on Artificial Intelligence Applications and Innovations
While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models.
Progress in the definition of the SDN-microSENSE architecture
Blog article published on the SDN microSense website.
Cybersecurity for SMEs in the digital era
Cybersecurity and SMEs is a hot topic that has found several difficulties to have a happy ending.
Smart City IoT Services Creation through Large Scale Collaboration
IEEE Internet of Things Journal
Syncronicity project
IEEE Internet of Things Journal
MegaM@Rt2 EU Project: Open Source Tools for Mega-Modelling at Runtime of CPSs
16th International Conference on Open Source Systems
Olive Trees Stress Detection Using Sentinel
IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium
In the field of plant disease protection, many approaches exist, but all acknowledge the necessity of fast and accurate identification of the source in order to make the most efficient applications.
Business Process Management for optimizing clinical processes: A systematic literature review
Health Informatics Journal
Business Process Management is a new strategy for process management that is having a major impact today. Mainly, its use is focused on the industrial, services, and business sector.
Smart solutions for tomorrow’s energy-efficient buildings
EU-funded researchers have developed a cloud-based platform to reduce energy use in buildings and battery energy storage systems to benefit end users and utility providers.
A Semantic-Enabled Platform for Realizing an Interoperable Web of Things
MDPI Sensors
Nowadays, the Internet of Things (IoT) ecosystem is experiencing a lack of interoperability across the multiple competing platforms that are available.
An Overview on ARIES: Reliable European Identity Ecosystem
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