Introduction Population level screen and treat approach for anaemia reduction could be beneficial but its feasibility and ...
Discover how multivariate models use multiple variables for investment forecasting, risk analysis, and decision-making in finance. Ideal for portfolio management.
This study provides important evidence that negative affect is associated with slower cognitive processing in daily life, with findings replicated across three independent samples and supported by ...
The joint probability of two or more variables being “extreme” is relevant in Flood and Coastal Risk Management (FCRM) in various contexts, including: Assessing the likelihood of extreme peak flow ...
Abstract: Multivariate time series prediction has significant practical applications in the fields of finance, electricity and transportation. However, due to the characteristics of high ...
Sea foams are caused by algal blooms and can represent large areas in coastal waters during ocean fronts associated with ...
Abstract: This study proposes a multivariate dynamic cost standard prediction model based on random forest; LSTM is combined with XGBoost to solve the problem of accuracy in predicting complex cost ...
Can you chip in? As an independent nonprofit, the Internet Archive is fighting for universal access to quality information. We build and maintain all our own systems, but we don’t charge for access, ...
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 ...
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