Cargando…
A Novel Method for Improved Network Traffic Prediction Using Enhanced Deep Reinforcement Learning Algorithm
Network data traffic is increasing with expanded networks for various applications, with text, image, audio, and video for inevitable needs. Network traffic pattern identification and analysis of traffic of data content are essential for different needs and different scenarios. Many approaches have...
Autores principales: | Balamurugan, Nagaiah Mohanan, Adimoolam, Malaiyalathan, Alsharif, Mohammed H., Uthansakul, Peerapong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9269698/ https://www.ncbi.nlm.nih.gov/pubmed/35808501 http://dx.doi.org/10.3390/s22135006 |
Ejemplares similares
-
A Novel Forward-Propagation Workflow Assessment Method for Malicious Packet Detection
por: Balamurugan, Nagaiah Mohanan, et al.
Publicado: (2022) -
Automated Triage System for Intensive Care Admissions during the COVID-19 Pandemic Using Hybrid XGBoost-AHP Approach
por: Deif, Mohanad A., et al.
Publicado: (2021) -
Intelligent Reflecting Surfaces Assisted UAV Communications for Massive Networks: Current Trends, Challenges, and Research Directions
por: Mohsan, Syed Agha Hassnain, et al.
Publicado: (2022) -
A traffic light control method based on multi-agent deep reinforcement learning algorithm
por: Liu, Dongjiang, et al.
Publicado: (2023) -
Real-Time Gait Phase Detection Using Wearable Sensors for Transtibial Prosthesis Based on a kNN Algorithm
por: Rattanasak, Atcharawan, et al.
Publicado: (2022)