End-to-End Intent-Based Networking
To reap its full benefits, 5G must evolve into a scalable decentralized architecture by exploiting intelligence ubiquitously and securely across different technologies, […]
Connection between the physicochemical characteristics of amorphous carbon thin films and their electrochemical properties
Connecting a material’s surface chemistry with its electrocatalytic performance is one of the major questions in analytical electrochemistry. This is especially important […]
BayGo
This article deals with the problem of distributed machine learning, in which agents update their models based on their local datasets, and […]
A Learning-Based Fast Uplink Grant for Massive IoT via Support Vector Machines and Long Short-Term Memory
The current random access (RA) allocation techniques suffer from congestion and high signaling overhead while serving massive machine type communication (mMTC) applications. […]
AI and 6G security
While 5G is well-known for network cloudification with micro-service based architecture, the next generation networks or the 6G era is closely coupled […]
A Low Complexity Learning-Based Channel Estimation for OFDM Systems With Online Training
In this paper, we devise a highly efficient machine learning-based channel estimation for orthogonal frequency division multiplexing (OFDM) systems, in which the […]
Intelligent Radio Signal Processing
Intelligent signal processing for wireless communications is a vital task in modern wireless systems, but it faces new challenges because of network […]
Performance Analysis on Machine Learning-Based Channel Estimation
Recently, machine learning-based channel estimation has attracted much attention. The performance of machine learning-based estimation has been validated by simulation experiments. However, […]
A review of uncertainty quantification in deep learning
Uncertainty quantification (UQ) methods play a pivotal role in reducing the impact of uncertainties during both optimization and decision making processes. They […]
Concept Drift Adaptation Techniques in Distributed Environment for Real-World Data Streams
Real-world data streams pose a unique challenge to the implementation of machine learning (ML) models and data analysis. A notable problem that […]