Abstract: Deep learning techniques have seen widespread application in seismic inversion, yet they face significant challenges when applied to fracture property inversion. The limited availability of ...

The task of manipulating real image attributes through StyleGAN inversion has been extensively researched. This process involves searching latent variables from a well-trained StyleGAN generator that ...

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Abstract: This article first presents machine-learning (ML) inversion of resistivity profiles from multifrequency electromagnetic measurements on undulating terrain surfaces based on synthetic data ...

During the remediation of saline wasteland, it is crucial to rapidly and accurately characterize the spatial distribution and temporal dynamics of soil salinity for evaluating the efficacy of leaching ...