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Joint spatio-temporal features constrained self-supervised electrocardiogram representation learning
The electrocardiogram (ECG) measurements with clinical diagnostic labels are intrinsically limited. We propose a generative learning based...
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Smart Diabetic Prediction: An Intelligent IoT-Based Diabetic Monitoring System with Stacked Spatio Temporal Features-Based Multiscale Dilated Deep Temporal Convolutional Network
Most of people are affected with the disease of diabetes worldwide and the affection rate has increased around the world over the years. Researchers...
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A Neural Network-based Suture-tension Estimation Method Using Spatio-temporal Features of Visual Information and Robot-state Information for Robot-assisted Surgery
In robot-assisted minimally invasive surgery, there is a risk of skin tissue damage or suture failure at the suture site owing to incomplete tension....
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MSSTN: a multi-scale spatio-temporal network for traffic flow prediction
Spatio-temporal feature extraction and fusion are crucial to traffic prediction accuracy. However, the complicated spatio-temporal correlations and...
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MDSTF: a multi-dimensional spatio-temporal feature fusion trajectory prediction model for autonomous driving
In the field of autonomous driving, trajectory prediction of traffic agents is an important and challenging problem. Fully capturing the complex...
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Traffic Flow Forecasting of Graph Convolutional Network Based on Spatio-Temporal Attention Mechanism
Accurate traffic flow forecasting is a prerequisite guarantee for the realization of intelligent transportation. Due to the complex time and space...
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Spatio-temporal analysis of georeferenced time-series applied to structural monitoring
Spatio-temporal (S-T) analysis is not typical in structural monitoring applications of buildings and infrastructure. However, monitoring always...
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DSTVis: toward better interactive visual analysis of Drones’ spatio-temporal data
AbstractMaintaining the normal flight of drones is crucial for drone operators. Analyzing the operation status of drones and adjusting flight...
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Channel spatio-temporal convolutional network for pedestrian trajectory prediction
Pedestrian trajectory prediction is a crucial technology for agents to assist human beings, which remains highly challenging due to the complex...
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Spatio-temporal graph cross-correlation auto-encoding network for wind power prediction
The rate of wind energy shows a sharp increase in recent years. Due to the instability, it is necessary to accurately predict the value of wind power...
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AirPollutionViz: visual analytics for understanding the spatio-temporal evolution of air pollution
AbstractSpatio-temporal evolution analysis has been a critical topic of air pollution research. However, there are still several difficulties caused...
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ESTI: an action recognition network with enhanced spatio-temporal information
Action recognition is an active topic in video understanding, which aims to recognize human actions in videos. The critical step is to model the...
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Federated Learning Based Spatio-Temporal Framework for Real-Time Traffic Prediction
Wireless sensor network is widely explored for traffic flow prediction. Traffic forecasting is a spatio-temporal problem because of the dynamic...
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TrajectoFormer: Transformer-Based Trajectory Prediction of Autonomous Vehicles with Spatio-temporal Neighborhood Considerations
Accurate trajectory prediction of autonomous vehicles is crucial for ensuring road safety. Predicting precise and accurate trajectories is still...
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Pedestrian trajectory prediction based on spatio-temporal attention mechanism
Mining and modeling city residents’ long-term and short-term preferences from their historical trajectory data is a key issue in trajectory...
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Quality of Experience Evaluation Model with No-Reference VMAF Metric and Deep Spatio-temporal Features of Video
For mobile streaming media service providers, it is necessary to accurately predict the quality of experience (QoE) to formulate appropriate resource...
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Expressway Short-Term Traffic Flow Forecasting Considering Spatio-Temporal Features of ETC Gantry
Through the application and expansion of expressway ETC gantry transaction data, we propose a short-term traffic flow forecasting of expressway based...
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CLA-Net: A Deep Spatio-Temporal Attention Network Based on ConvLSTM for EEG Emotion Recognition
With the rapid development of artificial intelligence and brain-computer interface technologies in recent years, emotion recognition based on...
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Multi-view Bayesian spatio-temporal graph neural networks for reliable traffic flow prediction
Accurate traffic flow prediction is critically essential to transportation safety and Intelligent Transportation Systems (ITS). Existing approaches...
