As the Internet of Things system becomes more popular and ubiquitous, it has also gradually entered the consumer electronics field. For example, smart home systems have numerous sensors that monitor ...

Abstract: This research presents a nonparametric algorithm for fitting of a multivariate function from noisy data. Conditions are provided that assure local and global convergence in probability.

GRIN is a graph-based, bidirectional, recurrent neural network which aims to reconstruct the input sequence by leveraging on both the temporal and spatial dimensions. GRIN reconstructs missing data in ...

A system of s multivariate polynomials is represented by an s-by-2 cell. The first column elements are vectors containing the coefficients. The second column elements are matrices containing the ...

A fundamental step of any quantum algorithm is the preparation of qubit registers in a suitable initial state. Often qubit registers represent a discretization of continuous variables and the initial ...

Spread the loveFinding the extrema of a multivariable function is an essential skill in calculus and applied mathematics. This process allows you to determine the minima and maxima of a function ...

The results support the hypothesis that using the mean function in KAN neurons is more effective than the traditional sum function. This enhancement is due to the mean’s ability to keep input values ...

Sketch derived, inverse or other related functions using graph translations. Complete the square and find composite functions for Higher Maths.