Abstract: This paper uses semi-stochastic modelling to study inter-satellite handover strategies for coherent satellite communications between a ground user and a serving satellite from a ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Trump offered to unfreeze funding for NYC tunnel if Dulles Airport, train station ...

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 ...

Considering the influence of quarantine and vaccination factors, this study examines an SEIQRV infectious disease model that incorporates an Ornstein-Uhlenbeck process and a general incidence function ...

A burst of experimentation followed ChatGPT's release to the public in late 2022. Now many people are integrating the newest models and custom systems into what they do all day: their work. Chefs are ...

Stochastic analysis and modelling encompasses the formulation, characterisation and computation of dynamic systems subject to intrinsic randomness or external noise. At its core lie stochastic ...

Implementation of option pricing models using Numba that performs better. This entire project has utilized as little libraries as possible, even though certain models have their own Machine Learning ...

Hydrological Model (Berkeley). This project implements the underground (stochastic) hydrological model (in Python) that was developed during my postdoctoral tenure at the Dept. of Earth & Planetary ...