Search Results for author:
Found 3 papers, 2 papers with code
FuXi-S2S: An accurate machine learning model for global subseasonal forecasts
Skillful subseasonal forecasts beyond 2 weeks are crucial for a wide range of applications across various sectors of society.
CoGANPPIS: A Coevolution-enhanced Global Attention Neural Network for Protein-Protein Interaction Site Prediction
Protein-protein interactions are of great importance in biochemical processes.
Artificial Intelligence Forecasting of Covid-19 in China
BACKGROUND An alternative to epidemiological models for transmission dynamics of Covid-19 in China, we propose the artificial intelligence (AI)-inspired methods for real-time forecasting of Covid-19 to estimate the size, lengths and ending time of Covid-19 across China.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
