Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
DynIMTS replaces static graphs with instance-attention that updates edge weights on the fly, delivering SOTA imputation and P12 classification ...
The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...
Discover why surface chemistry matters and how XPS imaging modes enable deeper insight into materials performance.
Background The relationship of social determinants of health (SDOH), environmental exposures and medical history to lung function trajectories is underexplored. A better understanding of these ...
A research team introduces a fully automated, non-destructive phenotyping platform that combines X-ray fluorescence ...
Objective To characterise the age-related impact of organ damage patterns on health-related quality of life (HRQoL) in ...
Discover how businesses and government agencies can use capital investment analysis to assess the potential of long-term ...
Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.
A research team led by Prof. Wang Zhenyou at the Aerospace Information Research Institute of the Chinese Academy of Sciences ...
Researchers have proposed a unifying mathematical framework that helps explain why many successful multimodal AI systems work ...
UCSF researchers have discovered a way to identify deadly lung infections with improved accuracy by pairing AI with a unique ...
Credit Rating, Sovereign Credit Rating, Income Levels, Ordered Probit Model Share and Cite: Niyonshuti, M., Ishimwe, M., Su, M. and Nketia, E. (2026) Analyzing the Factors Influencing Sovereign Credit ...
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