Abstract: The Multivariate Polynomial Public Key (MPPK) algorithm, over a prime Galois field, takes a multiplier multivariate polynomial and two multiplicand univariate solvable polynomials to create ...

Abstract: We present a physics-based gradient adapted for metrological analysis of surfaces using hyperspectral imaging. The multivariate image gradient is mathematically split into spectral shape ...

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Mathematics forms the foundation of modern Machine Learning systems. Concepts such as optimization, dimensionality reduction, regression, neural network training, projections, eigenvector ...

Energy minimization was carried out using 2,500 steps of steepest descent followed by 2,500 steps of conjugate gradient. The system was heated from 0 K to 298.15 K over 200 ps, followed by ...

aMacFeeters Hamilton Neuro-Oncology Program, Princess Margaret Cancer Centre, University Health Network and University of Toronto, Toronto, ON, Canada ...

Objective To develop and validate machine learning (ML)-based models to predict lymph node metastasis (LNM) in patients with gastric cancer (GC). Design Retrospective cohort study. Setting Second ...

Knowing the quantity and the quality of products and tailings generated by a beneficiation plant, even before ore processing, can make the mining operations more sustainable, more profitable, and ...