Cargando…
An Ensemble Deep Learning Model for Automatic Modulation Classification in 5G and Beyond IoT Networks
With rapid advancement in artificial intelligence (AI) and machine learning (ML), automatic modulation classification (AMC) using deep learning (DL) techniques has become very popular. This is even more relevant for Internet of things (IoT)-assisted wireless systems. This paper presents a lightweigh...
Autores principales: | Roy, Chirag, Yadav, Satyendra Singh, Pal, Vipin, Singh, Mangal, Patra, Sarat Kumar, Sinha, G. R. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691989/ https://www.ncbi.nlm.nih.gov/pubmed/34950200 http://dx.doi.org/10.1155/2021/5047355 |
Ejemplares similares
-
Design and Development of IoT and Deep Ensemble Learning Based Model for Disease Monitoring and Prediction
por: Venkatachala Appa Swamy, Mareeswari, et al.
Publicado: (2023) -
An IoT and Fog Computing-Based Monitoring System for Cardiovascular Patients with Automatic ECG Classification Using Deep Neural Networks
por: Rincon, Jaime A., et al.
Publicado: (2020) -
The proposed hybrid deep learning intrusion prediction IoT (HDLIP-IoT) framework
por: Fadel, Magdy M., et al.
Publicado: (2022) -
Prediction Framework on Early Urine Infection in IoT–Fog Environment Using XGBoost Ensemble Model
por: Gupta, Aditya, et al.
Publicado: (2023) -
Integrating ECG Monitoring and Classification via IoT and Deep Neural Networks
por: Yeh, Li-Ren, et al.
Publicado: (2021)