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Found 7 papers, 2 papers with code
Uncover the nature of overlapping community in cities
Urban spaces, though often perceived as discrete communities, are shared by various functional and social groups.
ChatGPT Informed Graph Neural Network for Stock Movement Prediction
However, its potential for inferring dynamic network structures from temporal textual data, specifically financial news, remains an unexplored frontier.
Interpreting County Level COVID-19 Infection and Feature Sensitivity using Deep Learning Time Series Models
Using the proposed framework, we conduct extensive experiments and show our model can learn complex interactions and perform predictions for daily infection at the county level.
Optimization of rule-based energy management strategies for hybrid vehicles using dynamic programming
The popular vehicle dynamic model used in many energy management optimization studies does not capture the vehicle dynamics that the in-vehicle measurement system does.
Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
The rapid development of remote sensing techniques provides rich, large-coverage, and high-temporal information of the ground, which can be coupled with the emerging deep learning approaches that enable latent features and hidden geographical patterns to be extracted.
Electrical Control of Surface Acoustic Waves
Acoustic waves at microwave frequencies have been widely used in wireless communication and recently emerged as versatile information carriers in quantum applications.
Applied Physics Quantum Physics
Learning Local Feature Descriptor with Motion Attribute for Vision-based Localization
For better performance, the features used for open-loop localization are required to be short-term globally static, and the ones used for re-localization or loop closure detection need to be long-term static.
