In his doctoral thesis, Michael Roop develops numerical methods that allow finding physically reliable approximate solutions ...

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 ...

Almost everyone has heard about the transposition of good and evil and truth and falsehood. The essential message of the popular 1999 movie, The Matrix, revolves around people awakening to the true ...

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 ...

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 ...

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 ...

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.