Gradient Boosting Decision Tree-Based PMM Model Integrated Into FDTD Method for Solving Subsurface Sensing Problems
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Antennas and Propagation"
DOI: 10.1109/tap.2024.3407969
Abstract: It is known that both the physical domain in size and problem complexity should also be considered to decrease more and more computational resources, especially for a large-scale complicated problem, besides taking into account numerical… read more here.
Keywords: subsurface sensing; decision tree; gradient boosting; model ... See more keywords
Mixed Total Field/Scattered Field-Based Discontinuous Galerkin Frequency-Domain Method for Subsurface Sensing
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2018.2883493
Abstract: To model the responses of electromagnetic surveys for geophysical subsurface sensing, a mixed total field/scattered field-based discontinuous Galerkin frequency-domain (TF/SF DGFD) method is proposed in this paper. The proposed TF/SF DGFD method is implemented at… read more here.
Keywords: field; field scattered; subsurface sensing; method ... See more keywords
Complete-Q Model for Poro-Viscoelastic Media in Subsurface Sensing: Large-Scale Simulation With an Adaptive DG Algorithm
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2019.2891691
Abstract: In this paper, full mechanisms of dissipation and dispersion in poro-viscoelastic media are accurately simulated in time domain. Specifically, four Q values are first proposed to depict a poro-viscoelastic medium: two for the attenuation of… read more here.
Keywords: viscoelastic media; subsurface sensing; large scale; algorithm ... See more keywords