News

IEEE4d
Deep Convolutional Neural Networks for Computer-Aided Detection: CNN Architectures, Dataset Characteristics and Transfer Learning - IEEE Xplore
Remarkable progress has been made in image recognition, primarily due to the availability of large-scale annotated datasets and deep convolutional neural networks (CNNs). CNNs enable learning ...
IEEE5d
Computer-Aided Design of an Integrated-Photonic Butler Matrix for a True-Time Delay Millimeter-Wave Antenna Feeder Network - IEEE Xplore
Abstract: The principles to optimize millimeter-wave antenna feeder network design for a 5G fronthaul radio unit are discussed based on the study of photonics scheme including integrated $8 \times 8$ ...
C&EN5d
MagGen: A Graph-Aided Deep Generative Model for Inverse Design of Permanent Magnets | The Journal of Physical Chemistry Letters - ACS Publications
A deep generative model based on a variational autoencoder (VAE), conditioned simultaneously by two target properties, is developed to inverse design stable magnetic materials. The structure of the ...