Abstract: Nonnegative low-rank matrix approximation is an important technique in data analysis for extracting meaningful patterns from high-dimensional nonnegative data. This nonnegative low-rank ...
Abstract: Accurate positioning of surface geometric features is essential for quality inspection of automotive components. While vision-based robotic measurement systems are extensively employed, ...
ABSTRACT: This paper presents a framework for solving the Navier-Stokes equations on the 3D torus T 3 . In this work, a review is made and a sequel follows with regard to the author’s work in 2021 in ...
AIM: In order to determine the reliability between two of these methodologically different method, this study evaluated the systematic and random errors of the method proposed by Tanaka and Johnston, ...
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