Machine Learning Assists IoT Localization: A Review of Current Challenges and Future Trends

The widespread use of the internet and the exponential growth in small hardware diversity enable the development of Internet of things (IoT)-based localization systems. We review machine-learning-based approaches for IoT localization systems in this paper. Because of their high prediction accuracy,...

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Detalles Bibliográficos
Autores principales: Shahbazian, Reza, Macrina, Giusy, Scalzo, Edoardo, Guerriero, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099106/
https://www.ncbi.nlm.nih.gov/pubmed/37050611
http://dx.doi.org/10.3390/s23073551

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10099106/
https://www.ncbi.nlm.nih.gov/pubmed/37050611
http://dx.doi.org/10.3390/s23073551

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