AlphaGenome scores mutation effects across coding and non-coding DNA, bringing gene insights to the base-pair level.

The PINN is formulated on the basis of the advection-dispersion-reaction equation to incorporate physical constraints into the learning process, while the LSTM captures temporal patterns from ...

Abstract This study proposes a hybrid modeling approach that integrates a Physics Informed Neural Network (PINN) and a long short-term memory (LSTM) network to predict river water temperature in a ...

Responding to customer feedback, encoder/decoder can now inject or extract stereo audio in just add power 4k60 deployments ...

This repository implements a sequence-to-sequence neural machine translation (NMT) model that translates English sentences into Hindi using an LSTM-based encoder-decoder architecture with a ...

Issue Description I built an LSTM time series prediction model using PyTorch and utilized SHAP to assess the impact of different features on the model's forecasting results. I encountered an Assert ...

Accurate prediction of blood glucose levels is crucial for automated treatment in diabetic patients. This study proposes a blood glucose prediction model based on an improved attention mechanism ...