A new study introduces a factor graph optimization (FGO) framework for integrated Global Navigation Satellite System ...

Traditional models for analyzing microbial communities often rely on average microbial abundance over time. While these models can predict temporal changes effectively, they often fail to capture the ...

The present research work introduces a novel computational approach to the study of a nonlinear stochastic epidemic model for skin sores and also a deterministic model. Theoretical analyzing leads to ...

For stochastic models that can generate different outputs from identical inputs, property-based testing helps identify which ...

Stochastic dynamical systems arise in many scientific fields, such as asset prices in financial markets, neural activity in the brain, or the spread of infectious diseases. Petar Jovanovski's Ph.D.

This course is compulsory on the MSc in Operations Research & Analytics. This course is not available as an outside option to students on other programmes. The course covers theory including the ...

This study systematically investigates intermittent large-amplitude oscillations across all three state variables of the memristive Hindmarsh–Rose neuron model. The large-amplitude excursions, arising ...

As global financial markets become increasingly interconnected, accurately modelling correlations between assets is essential. Traditional models often assume static correlations, which fail to ...