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This repository provides accurate tensor (NVIDIA) and matrix (AMD) core models written in MATLAB. It also includes parts of the model validation data which is used to refine the models as shown in [1] ...

Kernel adaptive filters are online machine learning algorithms based on kernel methods. Typical applications include time-series prediction, nonlinear adaptive filtering, tracking and online learning ...

The human faculty to generate an infinite set of structured expressions in language, present in most cultures and normal ontogeny, is the most substantial evidence of the human capacity for recursion.

Abstract: This express brief addresses the voltage collapse problem in direct-current (dc) networks by using a recursive heuristic search algorithm based on the Newton-Raphson method. The determinant ...

Introduction: Phasor measurement is crucial for the monitoring and management of power grids. Traditional hardware-based phasor measurement units (PMUs) are effective but often complex and expensive.

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Flexagon-based kirigami enables surface reconfigurability and eversion; however, unexplored kinematic mechanisms and inherent material constraints have limited its applications. We introduce a class ...

Using machine-learning methodologies to analyze EEG signals becomes increasingly attractive for recognizing human emotions because of the objectivity of physiological data and the capability of the ...

To identify potential zero nucleotide exon-type ratchet points, we parsed the RNA-seq alignments to identify novel splice junctions where the reads mapped to an annotated 5′ splice site and an ...

Abstract: To reduce the computational complexity of matrix inversion, which is the majority of processing in many practical applications, two numerically efficient recursive algorithms (called ...