"Banks want to modernize, but many operate mission-critical AML programs that were built over decades," said Lior Blik, CEO of Matrix USA. "This partnership gives them a practical path forward: ...
A paper written by University of Florida Computer & Information Science & Engineering, or CISE, Professor Sumit Kumar Jha, Ph ...
Numerical-Methods-Project/ │ ├── README.md │ ├── 01_Solution_of_Linear_Equations/ │ │ │ ├── Gauss_Elimination/ │ │ ├── theory.md ...
Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...
Accurate spectral analysis of high-energy astrophysical sources often relies on comparing observed data to incident spectral models convolved with the instrument response. However, for gamma-ray ...
Given an n x n square matrix A, if there exists another matrix B such that AB = BA = I (where I is the identity matrix), then B is called the inverse matrix of A and is denoted by A-1. The general ...
Arceon (Delft, Netherlands) produces a family of ceramic matrix composites (CMC) called Carbeon which comprise uncoated carbon fiber reinforcement in a carbon-silicon carbide matrix (C/C-SiC) made ...
Stochastic inversion method based on compressed sensing frequency division waveform indication prior
The stochastic inversion method using logging data as conditional data and seismic data as constraint data has a higher vertical resolution than the conventional deterministic inversion method.
Abstract: An improved variant of the precise-integration time-domain (PITD) method is proposed to eliminate the inverse matrix calculation and optimize the storage burden with the help of sparse ...
Abstract: This paper presents a novel method for accurately and conveniently inverting the relative permittivity and conductivity of half-space medium using a single antenna in the presence of ...
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