Solar panels and wind turbines increasingly dot the landscape, but the future of clean energy may well depend on how smoothly ...

Introduction: Moving Beyond Predictive Accuracy  Prediction has been traditionally the backbone of applied data science. From ...

Advancements in Simulation Methodologies Simulation is getting a serious upgrade, and it’s not just about faster computers ...

A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...

A novel differentiable approach optimizes geometric waveguide coatings, achieving substantial gains in light efficiency and ...

University of Warwick-led study shows how tabletop devices could uncover the fundamental texture of the universe.

Abstract: The simulation of weather has become crucial for stochastic production simulation in power systems with a high proportion of photovoltaic (PV) generation. Generative artificial intelligence ...

Abstract: Although various approaches have been reported for forecasting aviation safety risks, they frequently fail to fully consider the stochastic nature and complex interrelations of numerous real ...

🎲 A portfolio of stochastic modeling projects in R for the Stochastic Modeling course at ISCTE. Includes MCMC, Acceptance-Rejection method, and Discrete Event Simulation of a hospital system.