Deep learning model predicts how individual cells influence disease outcomes

A computational method called scSurv, developed by researchers at Institute of Science Tokyo, links individual cells to ...
IEEE

Toward 6G: Deep GRU and RNN Empowered MVDR and LCMV Adaptive Beamformers for IRS-Aided Wireless Environments

Abstract: 6G systems require highly adaptive beamforming techniques to cope with rapid channel variations and strict latency constraints. The advent of Intelligent Reflecting Surfaces (IRS) has ...
GitHub

char_rnn_generation_tutorial.py

This tutorials is part of a three-part series: * `NLP From Scratch: Classifying Names with a Character-Level RNN <https://pytorch.org/tutorials/intermediate/char_rnn ...
GitHub

char_rnn_classification_tutorial.py

This tutorials is part of a three-part series: * `NLP From Scratch: Classifying Names with a Character-Level RNN <https://pytorch.org/tutorials/intermediate/char_rnn ...
IEEE

Transient Modeling of Nonlinear Components using Global Gated Deep Recurrent Neural Network Masked With Dropout

Abstract: This article introduces a novel approach for nonlinear electronic circuit modeling called Global Gated Deep Recurrent Neural Network (GGDRNN). GGDRNNs leverage the stacking of multiple ...