The Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) is funding a further 15 Emmy Noether Groups in the field of “Methods in Artificial Intelligence”. This was decided by the DFG’s ...

The overlap and dynamic variation of measurement areas have long been key factors affecting the accuracy of airborne gamma-ray measurements. Addressing this challenge critically depends on the ...

It’s not just political or cultural. The “inversion matrix” has dark spiritual roots and is purpose-driven to attack and undermine the beliefs and norms of Judeo-Christian people and countries, ...

Linear regression is the most fundamental machine learning technique to create a model that predicts a single numeric value. One of the three most common techniques to train a linear regression model ...

Abstract: Sparse Bayesian learning (SBL) is an advanced statistical framework that dominantly enhances the sparse features of targets of interest in radar imagery. A widely adopted strategy for ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

ABSTRACT: Sokor Formation reservoir intervals are intrinsically anisotropic, heterogeneous and with a characteristic of Low Contrast Low Resistivity (LCLR) log responses in parts of the Termit basin.

Matrix factorization techniques, such as principal component analysis (PCA) and independent component analysis (ICA), are widely used to extract geological processes from geochemical data. However, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The development of low-loss reconfigurable integrated optical devices enables further ...

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 ...