When quantum particles work together, they can produce signals far stronger than any one particle could generate alone. This ...
Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.
Living cells may generate electricity through the natural motion of their membranes. These fast electrical signals could play ...
TSD 20: Multivariate meta-analysis of summary data for combining treatment effects on correlated outcomes and evaluating surrogate endpoints (PDF, 1.2MB) – October 2019 – Updated December 2022: ...
Function secret sharing (FSS) is a secret sharing technique for functions in a specific function class, mainly including distributed point function (DPF) and distributed comparison function (DCF). As ...
Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...
Abstract: This study conducts a comprehensive multivariate analysis of brain function consistency across tasks among children with Attention Deficit Hyperactivity Disorder (ADHD) based on functional ...
A reversible instance normalization layer to normalize individual series. A linear embedding layer that projects individual series into the embedding space. Mamba blocks that capture the correlations ...
Abstract: Multivariate time-series (MTS) anomaly detection is of great importance in both condition monitoring and malfunction identification in multisensor systems. Current MTS anomaly detection ...
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