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The methods based on vector algebra and linear transform [11 13] are always used to solve the inverse solution of a manipulator with insufficient degrees of freedoms.
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Vector images are based on vector graphics, or using geometrical shapes that are then relayed as images in computer graphics.
In contrast, our multivariate method is able to assign directionality even in cases where both single gene phenotypes are non-zero, based on a straightforward vector algebra calculation.
There is a more general semantics of BL, based on algebras called BL-algebras; each BL-algebra can serve as the algebra of truth functions of BL.
However, the optimization is based on algebra score alone, and algebra length computes additional information for each optimal candidate.
Unlike the matrix-based denoising methods which are based on matrix algebra, the newly proposed tensor-based denosing methods utilize multilinear algebra to analyze the HSI tensor directly.
In this correspondence, we combine the electromagnetic vector sensors with the conformal array, and present a unified model based on geometric algebra to estimate the DOAs.
In this subsection, we will combine the electromagnetic vector sensors with the conformal array, and present a unified model based on geometric algebra to estimate the DOAs.
In this correspondence, we will combine the electromagnetic vector sensors with the conformal array, and present a unified model based on geometric algebra to estimate the DOAs.
Much of Machine Learning is based on Linear Algebra.
The proof is based on 'planar algebra techniques'.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.
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CEO of Professional Science Editing for Scientists @ prosciediting.com