Cargando…
A Systematic Review on Machine Learning and Deep Learning Models for Electronic Information Security in Mobile Networks
Today’s advancements in wireless communication technologies have resulted in a tremendous volume of data being generated. Most of our information is part of a widespread network that connects various devices across the globe. The capabilities of electronic devices are also increasing day by day, whi...
Autores principales: | Gupta, Chaitanya, Johri, Ishita, Srinivasan, Kathiravan, Hu, Yuh-Chung, Qaisar, Saeed Mian, Huang, Kuo-Yi |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915055/ https://www.ncbi.nlm.nih.gov/pubmed/35271163 http://dx.doi.org/10.3390/s22052017 |
Ejemplares similares
-
Event-Driven Acquisition and Machine-Learning-Based Efficient Prediction of the Li-Ion Battery Capacity
por: Mian Qaisar, Saeed, et al.
Publicado: (2021) -
Evaluating Deep Neural Network Architectures with Transfer Learning for Pneumonitis Diagnosis
por: Krishnamurthy, Surya, et al.
Publicado: (2021) -
A Joint Resource Allocation, Security with Efficient Task Scheduling in Cloud Computing Using Hybrid Machine Learning Techniques
por: Bal, Prasanta Kumar, et al.
Publicado: (2022) -
Signal-piloted processing and machine learning based efficient power quality disturbances recognition
por: Mian Qaisar, Saeed
Publicado: (2021) -
The Ensemble Machine Learning-Based Classification of Motor Imagery Tasks in Brain-Computer Interface
por: Subasi, Abdulhamit, et al.
Publicado: (2021)