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Found 3 papers, 1 papers with code
WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
The end-product of this scientific endeavour is a novel spatio-temporal graph neural network architecture that is referred to as WEST (WEighted STacked) GCN-LSTM.
An evaluation of time series forecasting models on water consumption data: A case study of Greece
Proper water distribution and forecasting of water consumption are key factors in mitigating the imbalance of supply and demand by improving operations, planning and management of water resources.
TraClets: Harnessing the power of computer vision for trajectory classification
To this end, researchers have developed several trajectory classification algorithms over the years that are able to annotate tracking data.
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