Epilepsy is a brain disorder disease that affects people's quality of life.
Electroencephalography (EEG) signals are used to diagnose epileptic seizures. This paper …

Hybrid quantum machine learning (QML) algorithms have potentials for current quantum
computing technologies since only part of the model is computed by a quantum device. This …

Autonomous vehicles, commonly known as self-driving cars, are rapidly gaining popularity
due to their numerous advantages, such as reducing traffic, pollution, and emissions while …

Driver distraction from the use of mobile phones significantly contributes to road accidents
This research introduces a Bidirectional Long Short-Term Memory Network (BiLSTM) deep …

Advances in utilisng motion simulators for skill training and related applications have yielded
numerous benefits, such as safety, availability, and serviceability, environmentally friendly …

Uncertainties in communication networks negatively affect the performance and usability of
teleoperation systems, specially, in time-critical applications such as telesurgery. There …

Sensors used in autonomous driving are affected variably in adverse weather conditions.
The reliability of each sensor changes with different lighting, precipitation type and intensity …

End to end learning for autonomous navigation and driving has become a growing research
trend in both industry and academia in recent years. Its promise is in treating the whole …

Transfer learning is an effective approach for adapting an autonomous agent to a new target
task by transferring knowledge learned from the previously learned source task. The major …

This paper investigates a novel synchronisation strategy for controlling Internet-based
teleoperation systems. These kinds of systems considerably suffer from network-induced …