Stream-Flow Forecasting Based on Dynamic Spatio-Temporal Attention
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2941799
Abstract: Recent advances in stream-flow prediction using Recurrent Neural Networks (RNN) or Long Short-Term Memory (LSTM) have prompted their exploration in the field of hydrology. Predicting hydrological time series is of great importance, but is very… read more here.
Keywords: temporal attention; dynamic spatio; stream flow; spatio temporal ... See more keywords
A Novel Method to Identify Mild Cognitive Impairment Using Dynamic Spatio-Temporal Graph Neural Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Neural Systems and Rehabilitation Engineering"
DOI: 10.1109/tnsre.2024.3450443
Abstract: Resting-state functional magnetic resonance imaging (rs-fMRI) has been widely used in the identification of mild cognitive impairment (MCI) research, MCI patients are relatively at a higher risk of progression to Alzheimer’s disease (AD). However, almost… read more here.
Keywords: graph neural; neural network; dynamic spatio; spatio temporal ... See more keywords
Dynamic Spatio-Temporal Adaptive Graph Convolutional Recurrent Networks for Vacant Parking Space Prediction
Sign Up to like & getrecommendations! Published in 2024 at "Applied Sciences"
DOI: 10.3390/app14135927
Abstract: The prediction of vacant parking spaces (VPSs) can reduce the time drivers spend searching for parking, thus alleviating traffic congestion. However, previous studies have mostly focused on modeling the temporal features of VPSs using historical… read more here.
Keywords: graph convolutional; vacant parking; dynamic spatio; prediction ... See more keywords