The ever-growing integration of distributed energy resources (DERs), especially behind-the-meter (BTM) solar generations, poses imperative operational challenges to system operators such as regional ...

In this article, sparse nonnegative matrix factorization (SNMF) is formulated as a mixed-integer bicriteria optimization problem for minimizing matrix factorization errors and maximizing factorized ...

ALPINE is a semi-supervised non-negative matrix factorization (NMF) framework designed to effectively distinguish between multiple phenotypic conditions based on shared biological factors, while also ...

Nonnegative Matrix Factorization (NMF) is a special instance of NCPD for decomposing second-order tensor data, which is a popular tool for extracting hidden themes from text data [41, 42].

REF 2022 is the 9th edition in the series of workshops on Resummation, Evolution, Factorization. The workshop focuses on transverse momentum dependent (TMD) parton densities and their connection with ...

Matrix factorization networks is also used to make adaptive adjustments to the number of variable regions in this model, which can effectively reduce the interference between the parameters of each ...

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