The increasing complexity of modern chemical engineering processes presents significant challenges for timely and accurate anomaly detection. Traditional ...
Federated Spatial-Temporal Synchronous Graph Convolutional Network for Cross-City Traffic Prediction
Abstract: Accurate traffic forecasting plays a vital role in modern intelligent transportation systems and enables proactive traffic management and well-informed decision-making. Although existing ...
Developing digital twins for zero-emission and climate-resilient inland waterway transport. Inland waterway transport (IWT) is one of Europe’s most energy-efficient freight mode ...
The Kolmogorov-Arnold Network (abbr. KAN) is a novel neural network architecture inspired by the Kolmogorov-Arnold ...
Global navigation satellite systems (GNSS), which include GPS, are traditionally used for positioning, timing, and mapping ...
Abstract: Pedestrian trajectory prediction aims to forecast future movements based on historical paths. Spatial-temporal (ST) methods often separately model spatial interactions among pedestrians and ...
This repository contains the official PyTorch implementation and the UMC4/12 Dataset for the paper: [UrbanGraph: Physics-Informed Spatio-Temporal Dynamic Heterogeneous Graphs for Urban Microclimate ...
In this post, we will show you how to enable or disable Spatial Sound in Windows 11. Spatial Sound is an advanced audio feature that creates an immersive, 3D sound experience, without requiring ...
Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...
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