Optimization approaches in machine learning (ML) are essential for training models to
obtain high performance across numerous domains. The article provides a comprehensive …

Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

Client-side video players employ adaptive bitrate (ABR) algorithms to optimize user quality
of experience (QoE). Despite the abundance of recently proposed schemes, state-of-the-art …

Most content providers are interested in providing good video delivery QoE for all users, not
just on average. State-of-the-art ABR algorithms like BOLA and MPC rely on parameters that …

The groundbreaking evolution in mobile and wireless communication networks design in
recent years, in combination with the advancement of mobile terminal equipment …

Aerodynamic shape optimization is usually a loop of an optimization model, an optimizer
and an evaluation workflow. A new optimizer is proposed and tested for a typical …

The ever-increasing demand for seamless high-definition video streaming, along with the
widespread adoption of the dynamic adaptive streaming over HTTP (DASH) standard, has …

Recent years have witnessed tremendous growth of video streaming applications. To
describe users' expectations of videos, QoE was proposed, which is critical for content …

HTTP Adaptive Streaming (HAS) is quickly becoming the de facto standard for video
streaming services. In HAS, each video is temporally segmented and stored in different …

HTTP adaptive streaming (HAS) is receiving much attention from both industry and
academia as it has become the de facto approach to stream media content over the Internet …