Szczegóły publikacji
Opis bibliograficzny
Wireless sensor networks and Internet of Things for e-services applied natural language processing and deep learning / Pascal Muam MAH, Iwona SKALNA, Tomasz PEŁECH-PILICHOWSKI // W: Prime archives in applied sciences [Dokument elektroniczny] / eds. Helen Henninger, Andrey Suzdaltsev. — Wersja do Windows. — Dane tekstowe. — India : Vide Leaf, 2022. — e-ISBN: 978-93-92117-54-1. — S. 1–23. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://videleaf.com/wp-content/uploads/2023/01/Wireless-Sens... [2023-07-06]. — Bibliogr. s. 20–23, Abstr. — Publikacja dostępna online od: 2023-01-04
Autorzy (3)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 147630 |
|---|---|
| Data dodania do BaDAP | 2023-07-27 |
| Rok publikacji | 2022 |
| Typ publikacji | fragment książki |
| Otwarty dostęp |  |
| Creative Commons |
Abstract
Introduction: The internet of things integration with wireless sensor networks can monitor and record the physical conditions of the environment and forward the collected data to a central location. Natural language processing provides a human-data relationship (H2DR) that deep learning uses to train models of artificial neural networks representing human thoughts. Objective: To present methods on how remote systems collect data and semantically analyze and determine a situation. Method and Material: Natural language processing applied deep learning on content extraction and evaluation was examined to showcase the strength of e-services based on WSNs and IoTs. Results: Based on WSNs and IoTs on e-services, a score of 3.61 out of 5 grades was recorded. Conclusion: The study concluded that WSNs and IoTs applied NLP and DL are the best network technologies for E-services to achieve, content awareness, context extraction, summarization, and security standards.