Cargando…
Deep Ontology Alignment Using a Natural Language Processing Approach for Automatic M2M Translation in IIoT
The technical capabilities of modern Industry 4.0 and Industry 5.0 are vast and growing exponentially daily. The present-day Industrial Internet of Things (IIoT) combines manifold underlying technologies that require real-time interconnection and communication among heterogeneous devices. Smart citi...
Autores principales: | Javed, Saleha, Usman, Muhammad, Sandin, Fredrik, Liwicki, Marcus, Mokayed, Hamam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10610665/ https://www.ncbi.nlm.nih.gov/pubmed/37896522 http://dx.doi.org/10.3390/s23208427 |
Ejemplares similares
-
Automatic Hybrid Access Control in SCADA-Enabled IIoT Networks Using Machine Learning
por: Usman, Muhammad, et al.
Publicado: (2023) -
Secure IIoT Information Reinforcement Model Based on IIoT Information Platform Using Blockchain
por: Jeong, Yoon-Su
Publicado: (2022) -
Analysis of architectures implemented for IIoT
por: Oñate, William, et al.
Publicado: (2023) -
Trends and Challenges in AIoT/IIoT/IoT Implementation
por: Hou, Kun Mean, et al.
Publicado: (2023) -
Validation of High-Availability Model for Edge Devices and IIoT
por: Peniak, Peter, et al.
Publicado: (2023)