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 […]
Asynchronous Time-Sensitive Networking for 5G Backhauling
Fifth Generation (5G) phase 2 rollouts are around the corner to make mobile ultra-reliable and low-latency services a reality. However, to realize […]
Evaluation of Machine Learning Techniques for Security in SDN
Software Defined Networking (SDN) has emerged as the most viable programmable network architecture to solve many challenges in legacy networks. SDN separates […]
Federated Machine Learning
The communication and networking field is hungry for machine learning decision-making solutions to replace the traditional model-driven approaches that proved to be […]
Machine Learning Meets Communication Networks
The growing network density and unprecedented increase in network traffic, caused by the massively expanding number of connected devices and online services, […]
Vegetation height estimation using ubiquitous foot-based wearable platform
Vegetation height plays a key role in many environmental applications such as landscape characterization, conservation planning and disaster management, and biodiversity assessment […]
Hiding in the Crowd
To cope with the lack of on-device machine learning samples, this article presents a distributed data augmentation algorithm, coined federated data augmentation […]
Gender Identification from Arabic Speech Using Machine Learning
Speech recognition is becoming increasingly used in real-world applications. One of the interesting applications is automatic gender recognition which aims to recognize […]