Particle swarm optimization is one of the most effective optimization algorithms motivated by
bird flocking behaviours. Population topology is a key aspect of particle swarm optimization …

Motion cueing algorithm (MCA) is used to reproduce the realistic driving motion feeling for
the user of the virtual vehicle using linear acceleration and angular velocity motion signals …

Motion-based simulators are used for a variety of applications, such as research, education,
entertainment and training. In fact, motion cues are required to achieve the highest …

Driving motion simulators are widely used for their reliable, safe and cost-effective abilities to
replicate real vehicle driving experience for simulator drivers in virtual environment. As all …

Healthcare systems in recent times have witnessed timely diagnoses with a high level of
accuracy. Internet of Medical Things (IoMT)-enabled deep learning (DL) models have been …

The analysis of multiphase flow from wells is periodically performed in test separators,
producing data on fluid and reservoir properties such as the gas–oil ratio, water cut …

The transfer of advanced technology to the person with a disability who wishes to practice a
sporting activity is gaining momentum in the science/engineering world. This paper seeks to …

Optimization-based motion cueing algorithms based on model predictive control have been
recently implemented to reproduce the motion of a car within the limited workspace of a …

Multisensory stimuli can be integrated in systems that make use of different paradigms, such
as Virtual Reality (VR), Augmented Reality (AR) or, in a wider sense, Mixed Reality (MR) …

In this paper, authors present a memristor-based fractional order system of tri-diagonal
bidirectional associative memory neural networks (TdBAMNNs) incorporating leakage and …