IEEE

Knowledge Embedded Convolutional Transformer Hybrid Network for Automatic Modulation Classification

Abstract: Deep learning (DL)-based automatic modulation classification (AMC) exhibits substantial potential to improve signal processing accuracy and efficiency in intelligent communication systems.
Science X Network

MOF modulation material can transform CO₂ into high value-added compounds

Science X is a network of high quality websites with most complete and comprehensive daily coverage of the full sweep of science, technology, and medicine news ...
IEEE

On the Design of Variable Modulation and Adaptive Modulation for Uplink Sparse Code Multiple Access

Abstract: Sparse code multiple access (SCMA) is a promising non-orthogonal multiple access scheme for enabling massive connectivity in next generation wireless networks. However, current SCMA ...
EurekAlert!

The UJI and the UV develop a new metal–organic framework modulation material for the chemical industry, capable of transforming CO₂ into high value-added compounds

Two research teams from the Universitat Jaume I of Castelló and the Universitat de València have developed a material and its synthesis method based on multivariate-modulated metal–organic frameworks ...