Predicting extreme rainfall through novel spatial modeling

Japan is an archipelago with diverse climate zones and complex topography that is prone to heavy rain and flooding. Add the ...
IEEE

Marine Target Detection via Spatial–Temporal Graph Neural Network

Abstract: This article deals with the problem of marine target detection utilizing underlying spatial–temporal properties of the radar echoes through deep learning technology. A spatial–temporal graph ...
IEEE

Causal Graph Spatial–Temporal Autoencoder for Reliable and Interpretable Process Monitoring

Abstract: To improve the reliability and interpretability of industrial process monitoring, this article proposes a causal graph spatial–temporal autoencoder (CGSTAE). The network architecture of ...
TWCN Tech News

Enable or disable Spatial Sound in Windows 11

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 ...
GitHub

GitHub - AntonXue/LASERv2: This is a public version of LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision

This is a public version of LASER: A Neuro-Symbolic Framework for Learning Spatial-Temporal Scene Graphs with Weak Supervision - AntonXue/LASERv2 ...
Frontiers

stGuide advances label transfer in spatial transcriptomics through attention-based supervised graph representation learning

The growing availability of spatial transcriptomics data offers key resources for annotating query datasets using reference datasets. However, batch effects, unbalanced reference annotations, and ...
marktechpost

Graph Structure Learning Framework (GSLI): Advancing Spatial-Temporal Data Imputation through Multi-Scale Graph Learning

Spatial-temporal data handling involves the analysis of information gathered over time and space, often through sensors. Such data is crucial in pattern discovery and prediction. However, missing ...