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Found 4 papers, 1 papers with code
Minimalist Traffic Prediction: Linear Layer Is All You Need
Traffic prediction is essential for the progression of Intelligent Transportation Systems (ITS) and the vision of smart cities.
Localised Adaptive Spatial-Temporal Graph Neural Network
Spatial-temporal graph models are prevailing for abstracting and modelling spatial and temporal dependencies.
Combating Distribution Shift for Accurate Time Series Forecasting via Hypernetworks
In this paper, we propose Hyper Time- Series Forecasting (HTSF), a hypernetwork-based framework for accurate time series forecasting under distribution shift.
Detection of Human Falls on Furniture Using Scene Analysis Based on Deep Learning and Activity Characteristics
Through measuring the changes of these characteristics and judging the relations between the people and furniture nearby, the falls on furniture can be effectively detected.
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