The Monte Carlo simulation estimates the probability of different outcomes in a process that cannot easily be predicted because of the potential for random variables.

dar_drop_dgm.R Data simulation for scenario with discontinuation at random and immediate change to off treatment effects. dnar_drop_dgm.R Data simulation for scenario with discontinuation not at ...

This project is a 3D simulation of the "Quantitative Estimation of Sugars Using Iodometric Titration" chemistry experiment. Designed as an educational tool, it helps students and learners ...

The spatially varying geographic-parameters introduce significant uncertainty into the ocean model. Due to the impracticality of manually tuning spatial varying parameters, data assimilation methods ...

With the development of satellite miniaturization, intelligence, and clustering, a single satellite platform can no longer support high-power detection equipment. Monocular angle-only cameras have ...

Abstract: Frequency offset estimation is an important part of digital signal processing (DSP), and its estimation performance is the key factor of signal demodulation. To improve the estimation ...