Abstract: The observation surface of gravity data is often undulating, and the density inversion efficiency of gravity data is seriously reduced due to the low computational efficiency of the kernel ...
This repository contains code to precompute the numerical Green's function (NGF) matrix and perform optimization utilizing the PNGF method and direct binary search as described in the paper "Near real ...
Adapting to the Stream: An Instance-Attention GNN Method for Irregular Multivariate Time Series Data
Managing irregular multivariate time series (IMTS) data is a significant challenge due to inherent irregularities and missing values. Recent advancements have utilized graph neural networks (GNNs) to ...
Function secret sharing (FSS) is a secret sharing technique for functions in a specific function class, mainly including distributed point function (DPF) and distributed comparison function (DCF). As ...
ABSTRACT: We explore the performance of various artificial neural network architectures, including a multilayer perceptron (MLP), Kolmogorov-Arnold network (KAN), LSTM-GRU hybrid recursive neural ...
In the 1680s, Isaac Newton devised a method to tackle this problemiStock Photos For over three centuries, researchers have relied on a powerful algorithm developed by Isaac Newton to tackle complex ...
% This Matlab code solves three-variable non-linear equation f(x) = 0 using Newton-Raphson iterative method [1]. % Ref. [1] S. Chapra, "Applied numerical methods with MATLAB", Mc Craw Hill, Singapore ...
Xinjiang Engineering Research Center of Big Data and Intelligent Software, School of Software, Xinjiang University, Urumqi 830091, China Key Laboratory of Software Engineering, Xinjiang University, ...
A new brain mapping method uncovers how groups of regions interact to support complex functions, offering insights into behavior and disease. A novel brain mapping method reveals complex neural ...
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