Advanced digital data-driven applications have evolved and significantly impacted the
transportation sector in recent years. This systematic review examines natural language …

In air traffic control (ATC), speech communication with radio transmission is the primary way
to exchange information between the controller and aircrew. A wealth of contextual …

In this paper we propose a novel virtual simulation-pilot engine for speeding up air traffic
controller (ATCo) training by integrating different state-of-the-art artificial intelligence (AI) …

A deep learning-based safety monitoring framework for air traffic control (ATC) systems is
proposed in this paper to reduce human errors and relieve the controllers' workload by …

In the domain of air traffic control (ATC) systems, efforts to train a practical automatic speech
recognition (ASR) model always faces the problem of small training samples since the …

In order to obtain real-time controlling dynamics in air traffic system, a framework is
proposed to introduce and process air traffic control (ATC) speech via radiotelephony …

Autonomous service robot applications can be divided in two main groups: outdoor and field
robots, and indoor robots. Autonomous lawnmowers, de-mining and search and rescue …

Widespread use of wireless networks nowadays raises many challenging issues to be
explored. With increasing of multimedia traffic, quality of experience (QoE) needs to be …

Controller-pilot voice communications are a critical component of the Air Traffic Control
(ATC) system, but outside of the human listening and responding that occurs with each …

In recent years, automatic speech recognition (ASR) technology has improved significantly.
However, the training process for an ASR model is complex, involving large amounts of data …