Are two sets of data genuinely different, or is it because of randomness? This question, known as the two-sample testing problem, becomes notoriously difficult in modern datasets, because they are ...
Neural networks (NNs) have received growing interest in engineering due to their ability to assimilate high-dimensional data and provide accurate approximations for complex systems. Nonetheless, ...
Abstract: Complex power quality disturbances (PQDs) is the concomitant occurrence of multiple single disturbances, which is a common disturbance in modern power system. In this article, a new plug ...
Transformers play a crucial role in power systems, and once they malfunction, it will seriously affect the power supply security of the grid. Therefore, accurate fault diagnosis of transformers is of ...
Abstract: The complexity of energy scheduling problems is increasing due to the energy transition. In recent research, Machine Learning (ML) has shown potential to contribute to the methodology for ...
Biological networks are often inferred through Gaussian graphical models (GGMs) using gene or protein expression data only. GGMs identify conditional dependence by estimating a precision matrix ...
Spectroscopy is widely used to characterize pharmaceutical products or processes, especially due to its desirable characteristics of being rapid, cheap, non-invasive ...
Department of Mathematics, Numerical Analysis, King Abdulaziz University, Jeddah, Saudi Arabia. In this paper we have extended our previous approach associated to two dimension Convection-diffusion ...
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