The rapid growth of small Internet connected devices, known as the Internet of Things (IoT), is creating a new set of challenges to create secure, private infrastructures. This paper …
This study aimed to develop a new methodology for evaluating and benchmarking a multi- agent learning neural network and Bayesian model for real-time skin detectors based on …
In recent years, Internet of Things (IoT) has been applied to many different fields such as smart home, environmental monitoring and industrial control system, etc. Under the pressure …
This open access book explores the dataspace paradigm as a best-effort approach to data management within data ecosystems. It establishes the theoretical foundations and …
E Curry, W Derguech, S Hasan… - Future Generation …, 2019 - Elsevier
As smart environments move from a research vision to concrete manifestations in real-world enabled by the Internet of Things, they are encountering a number of very practical …
K Lyko, M Nitzschke… - New horizons for a data …, 2016 - library.oapen.org
Over the last years, the term big data was used by different major players to label data with different attributes. Moreover, different data processing architectures for big data have been …
In internet of things (IoT) paradigm, crowdsourcing is the process of obtaining and analyzing information or input to a particular task or project generated by a number of sources such as …
J Yun, IY Ahn, NM Sung, J Kim - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The highly-fragmented and non-standardized landscape of the Internet of Things industry results in forcing both IoT developers and end-users to have to choose their proprietary …
Internet of Things (IoT) applications, systems and services are subject to law. We argue that for the IoT to develop lawfully, there must be technical mechanisms that allow the …