ED‐AttConvLSTM: An Ionospheric TEC Map Prediction Model Using Adaptive Weighted Spatiotemporal Features
Sign Up to like & getrecommendations! Published in 2024 at "Space Weather"
DOI: 10.1029/2023sw003740
Abstract: In this paper, we propose a novel Total Electron Content (TEC) map prediction model, named ED‐AttConvLSTM, using a Convolutional Long Short‐Term Memory (ConvLSTM) network and attention mechanism based on encoder‐decoder structure. The inclusion of the… read more here.
Keywords: tec map; map prediction; performance; prediction ... See more keywords
Refined Contact Map Prediction of Peptides Based on GCN and ResNet
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Genetics"
DOI: 10.3389/fgene.2022.859626
Abstract: Predicting peptide inter-residue contact maps plays an important role in computational biology, which determines the topology of the peptide structure. However, due to the limited number of known homologous structures, there is still much room… read more here.
Keywords: contact; inter residue; map prediction; contact map ... See more keywords