Artificial neural networks (ANNs) have become an integral tool in various fields of research. ANNs are mathematical models which can be trained to perform various prediction tasks. The effectiveness of an ANN can be ...

Overhead transmission lines are a vital component in electrical power networks. Overvoltage transients that originate in transmission lines due to disturbances such as lightning or switching can reach other components in ...

High Voltage Direct Current (HVdc) transmission is seeing an increasing use as an efficient method for delivering renewable energy from remote areas to the load center(s). Maintaining the integrity of the HVdc transmission ...

Quantum computation offers a promising alternative to classical computing methods in many areas of numerical science, with algorithms that make use of the unique way in which quantum computers store and manipulate data ...

Regular monitoring of marine wildlife is essential for rapid detection of changes in the marine ecosystem allowing for adaptive strategies. However, the manual analysis of large volumes of underwater images taken by cameras ...

Detect-and-avoid (DAA) systems equipped with non-cooperative sensors for unmanned aircraft systems (UAS) beyond visual line-of-sight (BVLOS) operation is of interest to many researchers and industries today. Planning ...

Multidimension functions frequently appear in Fourier Optics. For example, in a polychromatic optical system, one could have three spatial dimensions for space, one dimension for time, and one dimension for wavelength. ...

In this thesis, an efficient wavefield imaging technique of Forward/Backward Time-Stepping (FBTS) in the Time Domain (TD) is developed, employing the Discontinuous Galerkin Method (DGM) as the spatial-discretization ...

In today’s world, detection of malware is a prevalent challenge due to the evolving nature of malware designs and techniques. Many machine learning algorithms, such as ANNs, use supervised learning, which relies on a labeled ...