Predicting RNA activity expands therapeutic possibilities

With AI, it's now possible for researchers to predict the three-dimensional structures of proteins directly from their ...
Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
IEEE

On Sequential Maximum a Posteriori Inference for Continual Learning

Abstract: We formulate sequential maximum a posteriori inference as a recursion of loss functions and reduce the problem of continual learning to approximating the previous loss function. We then ...
IEEE

Protein-Binding RNA Prediction Based on Integrated Sequence-Structure-Function Pre-Training

Abstract: RNA binding proteins (RBPs) play a crucial role in regulating biological functions through their interactions with specific RNAs, significantly impacting various life processes.