| Autor: |
Chetyrbok Petr, Oleinikov Nikolay, Mayorova Angela, Gorobets Daniel, Ponomareva Elena, Sergeeva Elena |
| Jazyk: |
English<br />French |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
E3S Web of Conferences, Vol 371, p 06001 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2267-1242 |
| DOI: |
10.1051/e3sconf/202337106001 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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