Engineering systems must function effectively whilst maintaining reliability in service.
Predicting maintenance costs and asset availability raises varying degrees of uncertainty …

Classification and regression are the major applications of machine learning algorithms
which are widely used to solve problems in numerous domains of engineering and …

The size of neural networks in deep learning techniques is increasing and varies
significantly according to the requirements of real-life applications. The increasing network …

This work aims to estimate the execution time of data processing tasks (specific executions
of a program or an algorithm) before their execution. The paper focuses on the estimation of …

Computer simulation technology is used to solve various engineering problems in the new
century, particularly exemplified by the widespread use of numerical simulation research …

Power electronic systems are intrinsically hybrid systems, consisting of continuous states
and discrete events. The hybrid nature makes their accurate and efficient simulation …

An unmanned free-swimming submersible (UFSS) is designed to perform certain tasks in
water without interposing humans. The vehicle's control is achieved by integrating …

Real-time systems have very high and strict requirements on execution time and energy
consumption because execution timeout or energy exhaustion will cause serious …

Datastreams serve as the fundamental conduits of information in contemporary society,
playing a pivotal role in various aspects of our daily lives. This paper delves into the …

IT is revolutionizing the healthcare industry. The benefits being realized could not be
imagined a few decades ago. Healthcare Data Analytics (HDA) has enabled medical …