vicky-zh Goto Github PK

a-robust-blind-watermarking-scheme-with-full-retrievability-eliminating-orthonormality-constraints

This repository contains the code and data to implement <Eliminating orthonormality constraints of SVD in blind watermarking: A robust approach with full retrievability>.

e-svd

sip

This is an implementation of the paper "Space-Invariant Projection in Streaming Network Embedding".

tracking_and_forecasting_milepost_moments_of_covid-19

In the paper <Tracking_and_forecasting_milepost_moments_of_the_epidemic_in_the_early_outbreak__framework_and_applications_to_the_COVID_19>, we proposed a method to predict "turning points", whose main idea is using the change velocity of infection rate (InfectionRateVelocity) and the change velocity of completion rate(RemovedRateVelocity) to forcast newly diagnoses cases and number of cases treated in the hospital in the future. Here, we proposed one of the algorithms to calculate the change rate and then make the prediction, which is the method we used in our paper mentioned above. The original data collected from China CDC is also included.