Contrastive learning based semantic communications
Recently, there has been a growing interest in learning-based semantic communication
because it can prioritize the preservation of meaningful semantic information over the …
because it can prioritize the preservation of meaningful semantic information over the …
Leveraging Network Data Analytics Function and Machine Learning for Data Collection, Resource Optimization, Security and Privacy in 6G Networks
The full deployment of sixth-generation (6G) networks is inextricably connected with a
holistic network redesign able to deal with various emerging challenges, such as integration …
holistic network redesign able to deal with various emerging challenges, such as integration …
Mobile network traffic analysis based on probability-informed machine learning approach
A Gorshenin, A Kozlovskaya, S Gorbunov… - Computer Networks, 2024 - Elsevier
The paper proposes an approach to the joint use of statistical and machine learning (ML)
models to solve the problems of the precise reconstruction of historical events, real-time …
models to solve the problems of the precise reconstruction of historical events, real-time …