Issue |
E3S Web Conf.
Volume 371, 2023
International Scientific Conference “Fundamental and Applied Scientific Research in the Development of Agriculture in the Far East” (AFE-2022)
|
|
---|---|---|
Article Number | 06001 | |
Number of page(s) | 8 | |
Section | Sustainable Territorial Development | |
DOI | https://doi.org/10.1051/e3sconf/202337106001 | |
Published online | 28 February 2023 |
Computational intelligence for the internet of things
V.I. Vernadsky Crimean Federal University, 295007 Simferopol, Republic of Crimea, Russia
* Corresponding author: petr58@mail.ru
The paper considers the classification of computational intelligence methods and their further development with the use of hybrid technologies for managing the Internet of things. The new paradigm of the Internet of Things allows the use of various objects in a wider range of tasks. In healthcare, devices are being developed for many purposes, such as monitoring patients to help them cope with chronic illnesses, recover from injuries, or prevent strokes. Thus, in order to realize a dynamic new generation technology, corresponding to the new paradigm of the "Internet of Things", it is proposed to use machine-learning algorithms in hybrid technology, which will make it possible not only to protect confidential patient data, but also to analyze them and make assumptions.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.