Within seismology, geology, civil and structural engineering, deep learning (DL), especially
via generative adversarial networks (GANs), represents an innovative, engaging, and …

In a recent article, El Karoui et al.(Proc Natl Acad Sci 110 (36): 14557–14562, 2013) study
the distribution of robust regression estimators in the regime in which the number of …

A complete study of collapse caldera formation should ideally involve multiple aspects such
as regional tectonics, system geometry, magma and host rock properties, fluid-structure …

Following an earlier study which gives the principles of the method and an example of
application to the eastern component of the magnetic field in the European region …

Structural curvatures are widely used seismic attributes that help interpreters to understand
both structural and stratigraphic features. Traditional structural curvature extractions are …

The study of seismic body waves is an integral aspect in global, exploration and engineering
scale seismology, where the forward modeling of waves is an essential component in …

Onita, Ebeh, & Iriogbe, P. No. 617-636 Page 618 bridging the gap between localized well-
log data and spatially extensive seismic data, the integration provides a more …

Base flow separation has often been portrayed as the process of removing a high‐frequency
event (runoff) from a streamflow time series to determine the low‐frequency component …

Reliable seismic depth migrations require an accurate input velocity model. Inaccurate
velocity estimates will distort point diffractors into smiles or frowns on a depth section. For …

Introduction Electromagnetic methods have a special place in the arsenal of geophysical
tools available for environmental investigations. They owe their status to five factors. First …