The simulation hypothesis—the idea that our universe might be an artificial construct running on some advanced alien computer ...

Using a specially developed simulation model, researchers at the University of Cologne have traced and analyzed the dynamics ...

Black holes are among the most extreme objects in the universe, and now scientists can model them more accurately than ever ...

Experts are increasingly turning to machine learning to predict antibiotic resistance in pathogens. With its help, resistance mechanisms can be identified based on a pathogen’s genetics. However, the ...

Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...

Abstract: Offshore wind farms have emerged as a crucial component of renewable energy generation, offering higher energy production rates due to stronger and more consistent wind conditions. However, ...

Introduction: Hip exoskeletons can lower the metabolic cost of walking in many tasks and populations, but their assistance patterns must be tailored to each user. We developed a simulation-based, ...

Abstract: Optimizing the parameters of telecommunications networks, such as the azimuths of transmitters, is essential to improving coverage and service quality. Adjusting the azimuths is sometimes a ...

The operation of the power grid is closely related to meteorological disasters. Changes in meteorological conditions may have an impact on the operation and stability of the power system, leading to ...

This project simulates and optimizes traffic flow at a four-way intersection, employing Petri nets (Java) for simulation and a genetic algorithm (Java) to determine optimal traffic light phase ...