IEEE

A Lower-Correlation Random Demodulator Architecture Using Random Sampling Period Zeroing Integration Method

Abstract: Compressed Sampling (CS) overcomes the oversam-pling trap caused by using Shannon's sampling theorem in sparse ultra-wideband signals. The Random Demodulator (RD) is the infrastructure for ...
C&EN

Cocrystal Network-Based Recommendation: A Multi-Objective Random Walk-Based Network Model for Virtual Screening of Drug–Drug Cocrystals

Shanghai Frontiers Science Center of Optogenetic Techniques for Cell Metabolism, Shanghai Key Laboratory of New Drug Design, School of Pharmacy, East China University of Science and Technology, ...
IEEE

Iterative Random Training Sampling Convolutional Neural Network for Hyperspectral Image Classification

Abstract: Convolutional neural network (CNN) has received considerable interest in hyperspectral image classification (HSIC) lately due to its excellent spectral–spatial feature extraction capability.