Tag: recurrent neural network

Researchers in Hangzhou have developed MGCRN, a graph-based recurrent neural network that maintains high forecasting accuracy on spatio-temporal data even ...

Researchers used a recurrent neural network fine-tuned on 5,178 validated mTOR inhibitors to generate 200 novel molecules, four of which ...

A hybrid RNN-MMSE detection framework achieves signal-to-noise ratio gains of up to 9-10 dB and spectral leakage below -130 dB/Hz ...

Researchers have combined discrete event modeling with recurrent neural networks to build a computationally efficient fault diagnosis framework, validated on ...

Researchers have unveiled a hybrid polynomial-diagonal recurrent neural network controller that stabilizes mobile robots using only six tunable weights and ...