A critical review of the existing Internal Combustion Engine (ICE) modeling, optimization,
diagnosis, and control challenges and the promising state-of-the-art Machine Learning (ML) …

Multipath transport protocols utilize multiple network paths (eg, WiFi and cellular) to achieve
improved performance and reliability, compared with their single-path counterparts. The …

In order to improve mobile data transparency, various approaches have been proposed to
inspect network traffic generated by mobile devices and detect exposure of personally …

As Multi-access Edge Computing (MEC) and 5G technologies evolve, new applications are
emerging with unprecedented capacity and real-time requirements. At the core of such …

Time series forecasting is a key component in many industrial and business decision
processes and recurrent neural network (RNN) based models have achieved impressive …

The popularity of big data and AI has led to many optimizations at different layers of
distributed computation stacks. Despite–or perhaps, because of–its role as the narrow waist …

For highly distributed environments such as edge computing, collaborative learning
approaches eschew the dependence on a global, shared model, in favor of models tailored …

This paper reports our five-year lessons of develo** and using MobileInsight, an open-
source community tool to enable software-defined full-stack, runtime mobile network …

Multipath transport protocols enable the concurrent use of different network paths, benefiting
a fast and reliable data transmission. The scheduler of a multipath transport protocol …

This study is a first attempt to experimentally explore the range of performance bottlenecks
that 5G mobile networks can experience. To this end, we leverage a wide range of …