Statistics that quantify a person’s predisposition to diseases such as diabetes and cancer can be reverse-engineered to reveal the underlying genetic data, prompting privacy concerns ...
Abstract: The latent factor analysis (LFA) model is an effective tool for extracting valuable information from high-dimensional and sparse (HiDS) matrices. However, traditional LFA usually suffers ...
Abstract: The circuits of high-power vacuum electron devices (HPVEDs) typically possess complex topologies that are crucial for efficiently converting electron beam energy to microwave energy. Due to ...