Semantic Web and blockchain technologies: Convergence, challenges and research trends

K Shkembi, P Kochovski, TG Papaioannou… - Journal of Web …, 2023 - Elsevier
In recent years, on the one hand, we have witnessed the rise of blockchain technology,
which has led to better transparency, traceability, and therefore, trustworthy exchange of …

Data aging matters: Federated learning-based consumption prediction in smart homes via age-based model weighting

K Skianis, A Giannopoulos, P Gkonis, P Trakadas - Electronics, 2023 - mdpi.com
Smart homes, powered mostly by Internet of Things (IoT) devices, have become very
popular nowadays due to their ability to provide a holistic approach towards effective energy …

Machine Learning on Blockchain Data: A Systematic Map** Study

G Palaiokrassas, S Bouraga, L Tassiulas - arxiv preprint arxiv:2403.17081, 2024 - arxiv.org
Context: Blockchain technology has drawn growing attention in the literature and in practice.
Blockchain technology generates considerable amounts of data and has thus been a topic …

Leveraging ontochains for distributed public transit ticketing: An investigation with the system for ticketing ubiquity with blockchains

JD Preece, CR Morris, JM Easton - IET Blockchain, 2024 - Wiley Online Library
Transport ticketing systems are crucial for enabling seamless, efficient, and sustainable
mobility. However, traditional ticketing systems face limitations such as ticket fraud, lack of …

Trusted virtual reality environment for training security officers

A Pantazidis, A Gazis, J Soldatos… - … Computing in Smart …, 2023 - ieeexplore.ieee.org
Virtual Reality (VR) applications are increasingly used to support ergonomic and safe
training activities, including serious games for training security officers and other security …

European data spaces for urban digital twins: user-and implementation-driven recommendations

C Martella, A Martella, A Longo - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Data spaces are driving smart city innovation by promoting interoperability, standardization,
and predictive analytics, enabling proactive urban management and fostering innovation by …

Identifying key factors in designing data spaces for Urban Digital Twin Platforms: a data driven approach

C Martella, A Martella… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
The growing importance of data spaces, which promote the exchange of data across various
domains, has generated considerable attention. The existing body of research on the …

[PDF][PDF] Cristian Martella1, Angelo Martella1, Amro Issam Hamed Attia Ramadan1, and

A Longo - 2024 - ceur-ws.org
Identifying key factors in designing data spaces for Urban Digital Twin Platforms: a data driven
approach Page 1 [DISCUSSION PAPER] Identifying key factors in designing data spaces for …

[PDF][PDF] Transit Ticketing

J Preece, C Morris, J Easton - 2024 - pure-oai.bham.ac.uk
Transport ticketing systems are crucial for enabling seamless, efficient, and sustainable
mobility. However, traditional ticketing systems face limitations such as ticket fraud, lack of …

A Stacking Ensemble Learning Model for Waste Prediction in Offset Printing

AS Kalafatelis, C Trochoutsos… - Proceedings of the …, 2023 - dl.acm.org
The production of quality printing products requires a highly complex and uncertain process,
which leads to the unavoidable generation of printing defects. This common phenomenon …