Engineering Proceedings, Volume 18, Issue 1

Increased electrical activity in the brain causes epilepsy, which causes seizures, resulting in various medical complications that can sometimes be fatal. Doctors use electroencephalography (EEG) for the profiling and diagnosis of epilepsy. According...

In submitting conference proceedings to Engineering Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review performed by the volume editors [...]

Coarse Grain Spectral Analysis (CGSA) can explain the possible multiscaling nature of the thousands of low-amplitude peaks observed in the power spectra of some pulsating stars. Space-based observations allowed for the scientific community to find th...

Testing for causation—defined as the preceding impact of the past value(s) of one variable on the current value of another when all other pertinent information is accounted for—is increasingly utilized in empirical research using the time...

We present a novel approach that combines the concept of reconstructed phase spaces with neural network time-series predictions. The presented methodology aims to reduce the parametrization problem of neural networks and improve autoregressive neural...

In this article, we introduce the topic of crime forecasting performed in North Rhine-Westphalia, Germany. We give a brief overview of three forecasting methods used in theory and practice: predictive policing, risk terrain modeling, and time series...

The problem of testing the equality of generating processes of two multivariate time series is addressed in this work. To this end, we construct two tests based on a distance measure between stochastic processes. The metric is defined in terms of the...

Professional sports achievements combine not only the individual physical abilities of athletes but also many modern technologies in areas such as medicine, equipment production, nutrition, and physical and mental health monitoring. In this work, we...

The Historical Consistent Neural Networks (HCNN) are an extension of the standard Recurrent Neural Networks (RNN): they allow the modeling of highly-interacting dynamical systems across multiple time scales. HCNN do not draw any distinction between i...

This paper focusses on the impact of the COVID-19 on the Stock Exchange of Mauritius (SEM) by modelling the number of daily stock transactions of two banks. Hence, a non-stationary bivariate integer-valued autoregressive and moving average of order 1...