Abstract: The latent factor analysis (LFA) model is an effective tool for extracting valuable information from high-dimensional and sparse (HiDS) matrices. However, traditional LFA usually suffers ...
In my 19 years of experience with vibration analysis in refinery and chemical plants and 15 years in the oil and gas sector, I have set up, managed, or supervised numerous vibration programs for ...
Abstract: A non-negative latent factor (NLF) model is able to be built efficiently via a single latent factor-dependent, non-negative and multiplicative update (SLF-NMU) algorithm for performing ...
Department of Anesthesiology, The Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan 450003, China Department of Anesthesiology, The Affiliated Cancer ...
Fixed-Dimensional Encoding (FDE) solves a fundamental problem in modern search systems: how to efficiently search through billions of documents when each document is represented by hundreds of vectors ...
Background: Factor XIa inhibitors represent a novel class of anticoagulants that target upstream components of the coagulation cascade, aiming to reduce thromboembolic risk. As their clinical ...
Fama–French Factor Graphs is a Python-based analytical tool for visualising factor model regressions using the Fama–French framework. The program enables users to plot and compare exposures to the ...
ABSTRACT: Most studies on the relationship between lexical sophistication and writing quality operationalize lexical sophistication as distributional property of words and focus on argumentative ...
This work presents the quantitative and qualitative analysis, as well as the experimental results of a practical implementation of the Single-Phase Bridgeless Hybrid Switched Capacitor Rectifier ...
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