Collective intelligence using 5G: Concepts, applications, and challenges in sociotechnical environments
Distributed intelligence is a well-known approach for optimizing interactions among
numerous smart devices that interconnect and operate together as Internet of Things (IoT) …
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 …
mandate to meet sustainable development goals. Repositioning democratic values of …
Human activity recognition based on wi-fi csi data-a deep neural network approach
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 …
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?
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 …
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 …
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
Community detection emerged as an important exploratory task in complex networks
analysis across many scientific domains. Many methods have been proposed to solve this …
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
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 …
perceptual information and overlaid sensory information. In contrast, simulation worlds are …
On-demand self-adaptive data analytics in large-scale decentralized networks
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 …
phones, into large-scale participatory decentralized networks, which they can use to make …
Sustainable consumerism via context-aware shop**
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 …
diverse sources of information, with social media and Internet of Things technologies …
Approximating Temporal Networks from Aggregated Network Data
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 …
connected nodes are associated with their interaction timestamps, enabling construction of …