Many scientific investigations require that the values of a set of model parameters are
estimated using recorded data. In Bayesian inference, information from both observed data …

Full waveform inversion (FWI) creates high resolution models of the Earth's subsurface
structures from seismic waveform data. Due to the non‐linearity and non‐uniqueness of FWI …

Over the past decades, surface wave methods have been routinely employed to retrieve the
physical characteristics of the first tens of meters of the subsurface, particularly the shear …

Imaging of the first metres of the subsurface with seismic methods constitutes a key
challenge for several applications. In this context, the analysis of Rayleigh waves can reveal …

Accurate estimations of near-surface S-wave velocity (Vs) models hold particular
significance in geological and engineering investigations. On the one hand, the popular …

Elastic full-waveform inversion has recently been utilized to estimate the physical properties
of the upper tens of meters of the subsurface, leveraging its capability to exploit the complete …

Abstract Full-Waveform Inversion (FWI) is a nonlinear iterative seismic imaging technique
that, by reducing the misfit between recorded and predicted seismic waveforms, can …

Time‐lapse images carry out important information about dynamic changes in Earth's
interior, which can be inferred using different full waveform inversion schemes. The …

Solar radiation prediction research is a key area of interest in the realm of solar energy
utilization and has garnered significant attention in recent times. In order to realize accurate …

In recent years, Full-Waveform Inversion (FWI) has been extensively used to derive high-
resolution subsurface velocity models from seismic data. However, due to the nonlinearity …