The reactive power correction terms and voltage phase correction differences are removed from the modified equations of the unified iteration method, and result in a reduction in the order of the ...

Then, we introduce an LDPP method ... each HPD matrix and its neighboring matrices. The process of learning this mapping is cast as an optimization problem on the Stiefel manifold, which can be ...

LightGBM is an external framework based on gradient boosting decision ... and confusion matrix. What’s more, compared with the general approaches of TST, TFT, TCL, and NGBoost, the proposed method ...

The course provides a theoretical background for the methods used for analysis of species-gradient relationships. Ordination and constrained ordination methods are particularly emphasised, and an ...

Purpose: To develop a method to reconstruct quantitative susceptibility ... minimization process that uses a preconditioned conjugate gradient solver. For the zero-padded in vivo data with a matrix ...

She has 15+ years of experience as a financial writer and technical analyst. Companies use the equity method of accounting to report their investments in other entities where they have significant ...