Collective intelligence using 5G: Concepts, applications, and challenges in sociotechnical environments

A Narayanan, MS Korium, DC Melgarejo… - IEEE …, 2022 - ieeexplore.ieee.org
Distributed intelligence is a well-known approach for optimizing interactions among
numerous smart devices that interconnect and operate together as Internet of Things (IoT) …

Proof of witness presence: Blockchain consensus for augmented democracy in smart cities

E Pournaras - Journal of Parallel and Distributed Computing, 2020 - Elsevier
Smart Cities evolve into complex and pervasive urban environments with a citizens'
mandate to meet sustainable development goals. Repositioning democratic values of …

Human activity recognition based on wi-fi csi data-a deep neural network approach

A Zhuravchak, O Kapshii, E Pournaras - Procedia Computer Science, 2022 - Elsevier
Abstract Using Wi-Fi Channel State Information (CSI) is a novel way of environmental
sensing and human activity recognition (HAR). These methods can be used for several …

Big data analytics of social network data: who cares most about you on Facebook?

CK Leung, F Jiang, TW Poon, PÉ Crevier - Highlighting the importance of …, 2018 - Springer
In recent years, many people are connected with each other via social networking sites such
as Facebook, Google+, LinkedIn, Twitter, and Weibo. Many users on these social networking …

Cross-disciplinary higher education of data science–beyond the computer science student

E Pournaras - Data Science, 2017 - content.iospress.com
The majority of economic sectors are transformed by the abundance of data. Smart grids,
smart cities, smart health, Industry 4.0 impose to domain experts requirements for data …

Community detection methods can discover better structural clusters than ground-truth communities

VL Dao, C Bothorel, P Lenca - Proceedings of the 2017 IEEE/ACM …, 2017 - dl.acm.org
Community detection emerged as an important exploratory task in complex networks
analysis across many scientific domains. Many methods have been proposed to solve this …

[HTML][HTML] Augmented virtual reality: Combining crowd sensing and social data mining with large-scale simulation using mobile agents for future smart cities

S Bosse, U Engel - Proceedings, 2018 - mdpi.com
Augmented reality is well known for extending the real world by adding computer-generated
perceptual information and overlaid sensory information. In contrast, simulation worlds are …

On-demand self-adaptive data analytics in large-scale decentralized networks

E Pournaras, J Nikolić - 2017 IEEE 16th International …, 2017 - ieeexplore.ieee.org
The Internet of Things empowers citizens to interconnect their devices, such as smart
phones, into large-scale participatory decentralized networks, which they can use to make …

Sustainable consumerism via context-aware shop**

J Klinglmayr, B Bergmair, MA Klaffenböck… - International Journal of …, 2017 - igi-global.com
We are living in a world of vast information. The means of the Internet allow access to
diverse sources of information, with social media and Internet of Things technologies …

Approximating Temporal Networks from Aggregated Network Data

R Ghawi, M Benzinger, J Pfeffer - 2023 Tenth International …, 2023 - ieeexplore.ieee.org
Temporal network data is typically provided in the form of temporal edge lists, where pairs of
connected nodes are associated with their interaction timestamps, enabling construction of …