English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

The identification of users in pervasive and ubiquitous environments can be performed using various devices and techniques, among which the use of wireless sensor networks (WSN), radio frequency identifiers (RFID), Smartphones, Bluetooth, among others. However, it is necessary to implement management techniques and control privacy of these heterogeneous environments. Thus, we performed a study using artificial neural networks in order to perform the processing of information identified only generating an output of information to Percontrol.

Privacy Management Solution in Ubiquitous Environments Using Percontrol