The digitization and automation of the raw material sector is required to attain the targets set
by the Paris Agreements and support the sustainable development goals defined by the …

Transient electromagnetic method (TEM) is often disturbed by surrounding noise in field
measurement, which leads to low resolution of data and affects accurate positioning of …

The transient electromagnetic method (TEM) is used to detect mineral resources and mined-
out areas, to eliminate the secondary field signal noise interference, this paper proposes an …

To overcome the interference of noise on the exploration effectiveness of the controlled-
source electromagnetic method (CSEM), we improved the deep learning algorithm by …

The considerable prospecting depth and accurate subsurface characteristics can be
obtained by the transient electromagnetic method (TEM) in geophysics. Nevertheless, the …

Background While magnetic resonance imaging (MRI) provides high resolution anatomical
images with sharp soft tissue contrast, magnetic resonance spectroscopy (MRS) enables …

Deep learning (DL) algorithms have shown incredible potential in many applications. The
success of these data-hungry methods is largely associated with the availability of large …

There are many conventional methods that have been applied in transient electromagnetic
(TEM) random noise suppression such as stacking-averaging, but when the TEM system …

The transient electromagnetic method (TEM) is a geophysical exploration method that can
efficiently acquire subsurface electrical parameters. For airborne, towed and other mobile …

Modern transient electromagnetic (TEM) surveys, either ground-based or airborne, may
yield thousands of line kilometers of data. Parts of these data, especially in areas with dense …