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 ...
Discover why surface chemistry matters and how XPS imaging modes enable deeper insight into materials performance.
Simultaneous disruption and progress, with a relentless Taiwan-focused capability development deadline. That’s the overriding ...
1don MSN
New method reveals how mutations drive transthyretin amyloidosis and guides precision drug design
An international research team reveals new molecular mechanisms associated with pathogenic mutations in the protein ...
The hive mind doesn’t quite fit in the same category of horror as slashers or monsters, but it is its own impressive breed of ...
Discover how Fourier Analysis breaks down complex time series data into simpler components to identify trends and patterns, despite its limitations in stock forecasting.
Credit Rating, Sovereign Credit Rating, Income Levels, Ordered Probit Model Share and Cite: Niyonshuti, M., Ishimwe, M., Su, ...
Stochastic volatility is the unpredictable nature of asset price volatility over time. It's a flexible alternative to the Black Scholes' constant volatility assumption.
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